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v3 MCP Task Orchestrator — Workflow Guide

This guide covers the role-based workflow, note schema system, dependency blocking, and efficient query patterns for v3 MCP Task Orchestrator.


1. Role-Based Workflow

Every WorkItem moves through a set of lifecycle phases called roles. Roles are semantic — they describe where an item is in the workflow, independent of any specific status label.

The Five Roles

Role Meaning
queue Pending, not yet started. Default role at creation.
work Actively being worked on.
review Work complete, undergoing verification or review.
terminal Finished. Use reopen to move back to queue if needed.
blocked Paused due to an unresolved dependency or explicit hold.

Standard Flow

queue  -->  work  -->  review  -->  terminal
              |                         ^
              +--------- (no review) ---+
              |
          (hold/block)
              |
           blocked  --> (resume) --> previous role

When an item has no review-phase notes defined in its schema, start from work advances directly to terminal, skipping the review phase.


2. Transitions Reference

All role transitions use advance_item(trigger=...). There is no direct role assignment.

Trigger Table

Trigger From Role(s) To Role Notes
start queue work Queue-phase required notes must be filled.
start work review or terminal Work-phase required notes must be filled.
start review terminal Review-phase required notes must be filled.
complete Any non-terminal terminal Enforces gates: all required notes across ALL phases must be filled.
block Any non-terminal blocked Saves previousRole for resume.
hold Any non-terminal blocked Alias for block.
resume blocked Previous role Restores role saved at block time.
cancel Any non-terminal terminal Sets statusLabel = "cancelled".
reopen terminal queue Clears statusLabel, bypasses gates. Parent cascades TERMINAL → WORK.

Example: Advance a Work Item

advance_item(transitions=[
  { "itemId": "abc-123", "trigger": "start" }
])

Example: Batch Transitions

advance_item(transitions=[
  { "itemId": "abc-123", "trigger": "complete", "summary": "All tests passed" },
  { "itemId": "def-456", "trigger": "start" }
])

3. Note Schemas

Note schemas gate role transitions. They define what documentation an item must carry before it can advance to the next phase.

What They Are

A note schema is a named set of note definitions. When an item matches a schema, the system enforces note requirements at start transitions.

Schema resolution order:

  1. Type-first lookup — the item's type field (e.g., feature, task, bug) is looked up directly in work_item_schemas. If a match is found, that schema is used.
  2. Tag fallback — if no type match, the item's tags are checked against schema keys. The first matching tag wins.
  3. Default schema — if neither type nor tags match, the default schema is used (if configured). Items with no match at all advance freely with no gate enforcement.

Schemas are defined in .taskorchestrator/config.yaml in the project root.

Schemas vs notes: Schemas and notes are independent systems. A schema is a set of rules defined in your project config that specifies what documentation an item must carry — it is never stored in the database. A note is actual content written by agents during implementation — it is stored in the database and carries no reference to any schema. The two meet only at gate-check time: advance_item fetches the item's notes from the database and checks them against the schema's requirements.

How They Gate Transitions

  • advance_item(trigger="start") checks required notes for the current phase before advancing.
  • advance_item(trigger="complete") checks all required notes across all phases.
  • advance_item(trigger="cancel") does not enforce gates.
  • Optional notes never block transitions.

Gate enforcement applies to items that resolve a schema via type, tag, or default fallback.

Full YAML Schema Format

The preferred format uses work_item_schemas:, which supports a lifecycle: field for cascade control. The legacy note_schemas: format is still accepted and fully backward-compatible.

# Preferred format
work_item_schemas:
  <schema-key>:
    lifecycle: <AUTO|MANUAL|AUTO_REOPEN|PERMANENT>   # optional, default: AUTO
    notes:
      - key: <note-key>
        role: <queue|work|review>
        required: <true|false>
        description: "<Short description of what this note should contain.>"
        guidance: "<Optional longer guidance shown to agents filling the note.>"
    traits:                    # optional — composable trait keys applied to this schema
      - <trait-key>

# Legacy format (still works)
note_schemas:
  <schema-key>:
    - key: <note-key>
      role: <queue|work|review>
      required: <true|false>
      description: "<Short description of what this note should contain.>"
      guidance: "<Optional longer guidance shown to agents filling the note.>"

Field Reference

Field Type Required Description
key string yes Unique identifier for this note within the schema. Used in manage_notes.
role string yes Phase this note belongs to: queue, work, or review.
required boolean yes Whether this note must be filled before advancing past this phase.
description string yes Short description of expected content. Shown in get_context gate status.
guidance string no Longer authoring guidance for agents. Shown in get_context as guidancePointer.
skill string no Skill to invoke when filling this note. Shown in get_context as skillPointer.

Constraints

  • key values must be unique within a schema.
  • The same key may appear in multiple schemas (schemas are independent).
  • Type lookup takes priority over tag matching — each item matches at most one schema.
  • Schemas with no matching item (no type, tag, or default fallback) have no effect.

Lifecycle Modes

The lifecycle: field on a schema controls how parent items cascade when all children reach terminal. This is only relevant for container items (items with children).

Mode Behavior
AUTO (default) Parent automatically advances to terminal when all children reach terminal.
MANUAL Suppress auto-cascade — parent must be completed explicitly via advance_item or complete.
AUTO_REOPEN Auto-cascade to terminal, and reopen the parent to work when a new child is created under a terminal parent.
PERMANENT Parent never auto-terminates, regardless of child state.

Set lifecycle at the schema level in work_item_schemas::

work_item_schemas:
  feature:
    lifecycle: MANUAL
    notes:
      - key: requirements
        role: queue
        required: true
        description: "Problem statement and acceptance criteria."

Complete Example Schema

work_item_schemas:
  feature-implementation:
    lifecycle: AUTO
    notes:
      - key: requirements
        role: queue
        required: true
        description: "Problem statement and acceptance criteria."
        guidance: "Describe what problem this solves. List 2-5 acceptance criteria."
      - key: design
        role: queue
        required: true
        description: "Chosen approach, alternatives considered."
        guidance: "Describe the chosen implementation approach. List alternatives considered and why they were rejected."
      - key: implementation-notes
        role: work
        required: true
        description: "Key decisions made during implementation."
        guidance: "Document key decisions made during coding. Include any deviations from the design and why."
      - key: test-results
        role: work
        required: true
        description: "Test pass/fail count and new tests added."
        guidance: "State total tests passing and failing. List new test cases added and what edge cases they cover."
      - key: deploy-notes
        role: review
        required: false
        description: "Deploy needed? Version bump? Reconnect required?"
        guidance: "Note any deployment steps, config changes, version bumps, or client reconnection requirements."

The legacy note_schemas: flat-list format is still accepted. New configs should prefer work_item_schemas: for access to the lifecycle: and traits: fields.

Phase Flow with Gates

queue
  requires: requirements (filled), design (filled)
      |
   [start]
      |
    work
  requires: implementation-notes (filled), test-results (filled)
      |
   [start]
      |
   review
  requires: (no required notes in this example)
      |
   [start]
      |
  terminal

4. Writing Notes

Notes are created or updated using manage_notes(operation="upsert").

Upsert a Note

manage_notes(operation="upsert", notes=[
  {
    "itemId": "abc-123",
    "key": "requirements",
    "role": "queue",
    "body": "## Problem\nUsers cannot reset passwords via email.\n\n## Acceptance Criteria\n- User receives reset email within 60s\n- Link expires after 24h\n- Old password no longer works after reset"
  }
])

(itemId, key) is unique — upserting an existing (itemId, key) pair updates it in place.

Checking Gate Status Before Advancing

Use get_context(itemId=...) to inspect the current gate status before calling advance_item.

get_context(itemId="abc-123")

Response includes:

{
  "item": { "id": "abc-123", "title": "...", "role": "queue" },
  "gateStatus": {
    "canAdvance": false,
    "phase": "queue",
    "missing": ["design"]
  },
  "schema": [
    {
      "key": "requirements",
      "role": "queue",
      "required": true,
      "description": "Problem statement and acceptance criteria.",
      "guidance": "Describe what problem this solves. List 2-5 acceptance criteria.",
      "exists": true,
      "filled": true
    },
    {
      "key": "design",
      "role": "queue",
      "required": true,
      "description": "Chosen approach, alternatives considered.",
      "guidance": "Describe the chosen implementation approach. List alternatives considered and why they were rejected.",
      "exists": false,
      "filled": false
    }
  ],
  "guidancePointer": "Describe the chosen implementation approach. List alternatives considered and why they were rejected."
}

When canAdvance: true, calling advance_item(trigger="start") will succeed.

Reading Existing Notes

manage_notes(operation="list", itemId="abc-123")

5. Filling Notes Workflow — Step by Step

This walkthrough covers a complete lifecycle for a feature-implementation item.

Step 1: Create the item

manage_items(operation="create", items=[
  {
    "title": "Password Reset Feature",
    "type": "feature-implementation",
    "tags": "backend,auth",
    "priority": "high"
  }
])

The response includes expectedNotes when the type (or tags) match a schema:

{
  "id": "abc-123",
  "title": "Password Reset Feature",
  "role": "queue",
  "tags": "feature-implementation",
  "expectedNotes": [
    { "key": "requirements", "role": "queue", "required": true, "description": "Problem statement and acceptance criteria.", "guidance": "Describe what problem this solves. List 2-5 acceptance criteria.", "exists": false },
    { "key": "design",        "role": "queue", "required": true, "description": "Chosen approach, alternatives considered.", "guidance": "Describe the chosen implementation approach. List alternatives considered and why they were rejected.", "exists": false },
    { "key": "implementation-notes", "role": "work", "required": true, "description": "Key decisions made during implementation.", "guidance": "Document key decisions made during coding. Include any deviations from the design and why.", "exists": false },
    { "key": "test-results",  "role": "work", "required": true, "description": "Test pass/fail count and new tests added.", "guidance": "State total tests passing and failing. List new test cases added and what edge cases they cover.", "exists": false },
    { "key": "deploy-notes",  "role": "review", "required": false, "description": "Deploy needed? Version bump? Reconnect required?", "exists": false }
  ]
}

Step 2: Fill queue-phase notes

Before writing notes, consult guidancePointer for authoring instructions:

get_context(itemId="abc-123")
// guidancePointer: "Describe what problem this solves. List 2-5 acceptance criteria."

Use the guidance to author each note:

manage_notes(operation="upsert", notes=[
  {
    "itemId": "abc-123",
    "key": "requirements",
    "role": "queue",
    "body": "Users need to reset passwords by email.\n\nAcceptance Criteria:\n- Reset email delivered < 60s\n- Link expires after 24h"
  },
  {
    "itemId": "abc-123",
    "key": "design",
    "role": "queue",
    "body": "Use HMAC token stored in DB. Chose over JWT to allow server-side invalidation."
  }
])

Step 3: Verify gate, then advance to work

get_context(itemId="abc-123")
// gateStatus.canAdvance: true

advance_item(transitions=[{ "itemId": "abc-123", "trigger": "start" }])
// item is now role: work

Step 4: Fill work-phase notes

Consult guidancePointer again — it now points to the first unfilled work-phase note:

get_context(itemId="abc-123")
// guidancePointer: "Document key decisions made during coding. Include any deviations from the design and why."

Use the guidance to author each work-phase note:

manage_notes(operation="upsert", notes=[
  {
    "itemId": "abc-123",
    "key": "implementation-notes",
    "role": "work",
    "body": "Added PasswordResetTokenRepository. Token TTL configurable via env var."
  },
  {
    "itemId": "abc-123",
    "key": "test-results",
    "role": "work",
    "body": "42 tests passing, 0 failing. Added 8 new tests for token expiry edge cases."
  }
])

Step 5: Advance to review

advance_item(transitions=[{ "itemId": "abc-123", "trigger": "start" }])
// item is now role: review

Step 6: Advance to terminal

advance_item(transitions=[{ "itemId": "abc-123", "trigger": "start" }])
// item is now role: terminal

5.5 Guidance — Agent Communication Channel

The guidance field in note schemas is a communication channel from schema authors to automated agents. It provides specific authoring instructions that go beyond the short description — telling agents how to write a note, not just what the note is for.

What guidance is

guidance is an optional string set in .taskorchestrator/config.yaml alongside each note definition. It carries intent from whoever designed the schema to whoever (or whatever) fills the note at runtime. Agents should treat it as a prompt: follow it when composing note bodies.

Where guidance appears

Guidance surfaces in four places:

  • get_context(itemId=...)guidancePointer at the top level. Points to the guidance of the first unfilled required note for the current phase. null when all required notes are filled or no matching schema has guidance.
  • manage_items(create) response — each entry in expectedNotes includes an optional guidance field when the schema defines one.
  • create_work_tree responseexpectedNotes on root and child items include the optional guidance field.
  • advance_item gate errorsmissingNotes array entries include the optional guidance field when present.

How agents consume guidance

The standard protocol is:

  1. Call get_context(itemId=...) before writing notes.
  2. Read guidancePointer — it is the instruction for the first unfilled required note in the current phase.
  3. Use the guidance text as authoring instructions for manage_notes(operation="upsert").
  4. After filling that note, call get_context again if there are more unfilled required notes — guidancePointer will advance to the next one.

Alternatively, use expectedNotes from the item creation response to batch-fill all notes at once, using each entry's guidance field individually.

Semantics

  • guidancePointer always points to the first unfilled required note for the current phase.
  • It is null when all required notes for the current phase are filled, or when no schema entry for the current phase has a guidance value.
  • Advancing to the next phase resets the pointer to the first unfilled required note of the new phase.
  • Optional notes (required: false) do not contribute to guidancePointer.

expectedNotes field availability by tool

Different tools return different subsets of the expectedNotes fields:

Field manage_items advance_item (success) advance_item (gate error) create_work_tree get_context
key
role
required
description
guidance ✓ (optional) ✓ (optional) ✓ (optional) ✓ (optional) ✓ (optional)
exists
filled

guidance is optional in all positions — it only appears when the schema entry defines it.


5.6 Agent Integration Patterns

Standard note-filling protocol

The recommended pattern for any agent filling notes on a schema-tagged item:

1. get_context(itemId=...)          → read guidancePointer
2. manage_notes(upsert, ...)        → fill the note using guidancePointer as instructions
3. Repeat until gateStatus.canAdvance: true
4. advance_item(trigger="start")    → advance to next phase

Using expectedNotes at creation time

When creating an item via manage_items or create_work_tree, the response includes expectedNotes with per-note guidance. Agents can use this to front-load all queue-phase notes immediately after creation without a separate get_context call:

manage_items(operation="create", items=[{ "title": "...", "tags": "feature-implementation" }])
// Response includes expectedNotes with guidance per entry
// Use each entry's guidance to write the corresponding note body immediately

Hook and skill injection

Orchestration hooks (e.g., SubagentStart) can inject guidancePointer into a subagent's system prompt before the agent begins work. This removes the need for the agent to call get_context itself:

System context injected by hook:
  Item: abc-123 — Password Reset Feature (role: queue)
  Required note: design
  Guidance: Describe the chosen implementation approach. List alternatives considered
            and why they were rejected.

The agent receives this context at session start and can proceed directly to manage_notes(upsert).

Example delegation prompt with guidance embedding

When dispatching a subagent to fill notes for a specific item, embed the guidance directly in the prompt:

Fill the "design" note for item abc-123.

Guidance from schema: "Describe the chosen implementation approach. List alternatives
considered and why they were rejected."

Use manage_notes(operation="upsert") with itemId="abc-123", key="design", role="queue".

6. Status Labels

Status labels are human-readable strings automatically set on WorkItems during role transitions. They provide a display-friendly status name alongside the semantic role.

Default Labels

Trigger Status Label Description
start "in-progress" Item has begun active work.
complete "done" Item finished successfully.
block "blocked" Item is paused due to a dependency or hold.
cancel "cancelled" Item was explicitly cancelled.
cascade "done" Item auto-completed via cascade from children.
resume (null) Preserves the label from before the block.
reopen (null/cleared) Clears the label when reopening a terminal item.

Label Precedence

  1. Resolution label — hardcoded for cancel ("cancelled") and reopen (null/cleared). Always wins when non-null.
  2. Config-driven label — resolved from StatusLabelService for the trigger. Used when the resolution label is null.
  3. Resume behaviorapplyTransition preserves the pre-block label automatically.

Customizing Labels

Override default labels in .taskorchestrator/config.yaml:

status_labels:
  start: "working"
  complete: "finished"
  block: "on-hold"
  cancel: "abandoned"
  cascade: "auto-completed"

Triggers not listed in the config get no label override (null). If no status_labels section exists, the hardcoded defaults above are used.

Where Labels Appear

  • advance_item response — each successful result includes "statusLabel" when set.
  • complete_tree response — each completed/cancelled item includes "statusLabel" when set.
  • Cascade events — cascade results in both tools include "statusLabel" when set.
  • query_items responses — the statusLabel field is included in item JSON when non-null.

7. Dependency Blocking

BLOCKS Edges

A BLOCKS edge between item A and item B means: B cannot start until A reaches terminal (by default).

manage_dependencies(operation="create", dependencies=[
  { "fromItemId": "abc-123", "toItemId": "def-456", "type": "BLOCKS" }
])

advance_item(trigger="start") on a blocked item will fail with a gate error listing the blocking items.

Pattern Shortcuts

Create a linear chain in one call:

manage_dependencies(operation="create", pattern="linear", itemIds=["task-a", "task-b", "task-c"])
// task-a BLOCKS task-b, task-b BLOCKS task-c

Fan-out (one blocker, many dependents):

manage_dependencies(operation="create", pattern="fan-out", source="task-a", targets=["task-b", "task-c", "task-d"])

Fan-in (many blockers, one dependent):

manage_dependencies(operation="create", pattern="fan-in", sources=["task-a", "task-b"], target="task-c")

unblockAt Threshold

By default a dependency is satisfied when the blocking item reaches terminal. Use unblockAt to satisfy earlier:

Value Satisfied When Blocker Reaches
queue Any role (immediately)
work work, review, or terminal
review review or terminal
terminal terminal (default)
manage_dependencies(operation="create", dependencies=[
  { "fromItemId": "abc-123", "toItemId": "def-456", "type": "BLOCKS", "unblockAt": "review" }
])

Finding Blocked Items

get_blocked_items()

Returns items blocked by unsatisfied dependencies and items explicitly in blocked role. Optionally scope to a subtree:

get_blocked_items(parentId="feature-uuid", includeAncestors=true)

Cascade Behavior in advance_item

advance_item automatically cascades role transitions up the hierarchy in two situations:

Start cascade (QUEUE → WORK): When a child item transitions to WORK, the parent is automatically advanced from QUEUE to WORK (if it is still in QUEUE). This cascade continues up the ancestor chain.

Terminal cascade (all children → TERMINAL): When a child item reaches TERMINAL, if all siblings are also terminal, the parent is automatically advanced to TERMINAL. This cascade also continues up the ancestor chain.

Reopen cascade (child TERMINAL → QUEUE): When a child item is reopened under a terminal parent, the parent is automatically reopened to WORK. This only applies to the immediate parent — no recursion.

All cascade types appear in cascadeEvents in the response:

{
  "cascadeEvents": [
    { "itemId": "feat-uuid", "title": "Auth Feature", "previousRole": "queue", "targetRole": "work", "applied": true }
  ]
}

Unblock Reporting in advance_item

When completing a blocking item, the response includes unblockedItems:

{
  "results": [{
    "itemId": "abc-123",
    "previousRole": "work",
    "newRole": "terminal",
    "trigger": "start",
    "applied": true,
    "unblockedItems": [
      { "itemId": "def-456", "title": "Downstream Task" }
    ]
  }]
}

Items in unblockedItems are now eligible to be started.

Actor Attribution

advance_item transitions and manage_notes upserts accept an optional actor claim that records who performed the action. This enables post-mortem analysis of multi-agent workflows.

advance_item(transitions=[{
  "itemId": "abc-123",
  "trigger": "start",
  "actor": { "id": "impl-agent", "kind": "subagent", "parent": "orchestrator-1" }
}])

The response echoes the actor claim and includes a verification record:

{
  "actor": { "id": "impl-agent", "kind": "subagent", "parent": "orchestrator-1" },
  "verification": { "status": "unverified", "verifier": "noop" }
}

Key behaviors:

  • Optional by default — omitting actor produces no error and no attribution data
  • Cascade transitions always have null actor (system-generated, not attributable)
  • Note re-upsert replaces the actor (last-writer-wins semantics)
  • get_context session resume includes actor/verification on recent transitions
  • query_notes includes actor/verification on notes that have them

Actor claims are self-reported — the server trusts them as-is in Stage 1. To require actor claims on all write operations, enable actor authentication in .taskorchestrator/config.yaml (set actor_authentication.enabled: true). See Enforcing Actor Attribution in the API reference.


8. Efficient Queries

Full-Text Search (FTS5) Recipes

The query_items(operation="search") and query_notes(operation="search") operations both support FTS5 full-text search when a query string is provided. Use these over list-mode filtering whenever you are looking for items or notes by content rather than metadata.

See search-and-discovery.md for the architecture and score interpretation.

Recipe 1 — Find passages mentioning X across all requirements

Find any item whose title or summary mentions "authentication":

query_items(operation="search", query="authentication token", scope={role="queue"}, limit=20)

Find notes that discuss a specific topic across the entire workspace:

query_notes(operation="search", query="rate limiting strategy", limit=20)

Recipe 2 — Search within a feature's subtree

Scope the search to descendants of a known feature UUID using scope.ancestorId:

query_items(operation="search", query="database migration", scope={ancestorId="550e8400-e29b-41d4-a716-446655440000"})
query_notes(operation="search", query="rollback plan", scope={ancestorId="550e8400-e29b-41d4-a716-446655440000"})

This uses a recursive CTE under the hood — any descendant at any depth is included.

Recipe 3 — Find items that reference REQ-42 (backlinks)

Identify all items that hold a dependency edge pointing AT a specific item — e.g., everything that blocks or relates to a requirement:

query_dependencies(operation="backlinks", itemId="550e8400-e29b-41d4-a716-446655440042")

Narrow to one type — "what blocks REQ-42?":

query_dependencies(operation="backlinks", itemId="550e8400-e29b-41d4-a716-446655440042", type="BLOCKS")

Each backlink entry returns { fromItemId, type, fromTitle }. Use query_items(get, id=fromItemId) to load full details on any item of interest.

Recipe 4 — Iterative search-then-read

search returns references and snippets — NOT full note bodies. For full content, use a two-step pattern:

Step 1 — find matching notes with snippet context:

query_notes(operation="search", query="acceptance criteria OAuth", scope={ancestorId="feature-uuid"}, snippet=true)

Step 2 — fetch full body for any hit by note ID or by (itemId, key):

query_notes(operation="get", id="<note-uuid-from-hit>")

Or list all notes for the owning item:

query_notes(operation="list", itemId="<itemId-from-hit>", role="queue")

Why two steps? Snippets are ~32 tokens. Full note bodies can be thousands of tokens. Loading them selectively avoids token budget exhaustion in multi-note workspaces.


Role-Based Filtering

query_items(operation="search") supports filtering by semantic role across all status names:

query_items(operation="search", role="work")
// Returns all items currently in the work phase
query_items(operation="search", role="blocked", parentId="feature-uuid")
// Returns blocked items under a specific feature

Two-Call Work Summary

Get a complete picture of active work with zero follow-up calls:

get_context(includeAncestors=true)

Returns active items (work/review) and blocked items, each with a full ancestor chain:

{
  "activeItems": [
    {
      "id": "abc-123",
      "title": "Implement reset endpoint",
      "role": "work",
      "ancestors": [
        { "id": "proj-001", "title": "Auth System", "depth": 0 },
        { "id": "feat-042", "title": "Password Reset Feature", "depth": 1 }
      ]
    }
  ]
}

Then get container-level counts:

query_items(operation="overview")

Total: 2 calls. No sequential parent-walk needed.

includeAncestors

Available on query_items(get), query_items(search), get_context, get_blocked_items, and get_next_item.

Each item gets an ancestors array ordered root-first (direct parent last). Root items get [].

query_items(operation="search", role="work", includeAncestors=true)

Next Item Recommendation

get_next_item(limit=3, includeAncestors=true)

Returns unblocked queue items ranked by priority (high first) then complexity (low first — quick wins first).

Scope to a subtree:

get_next_item(parentId="feature-uuid")

9. Config Reference

The full schema for .taskorchestrator/config.yaml:

Top-Level Structure

# Preferred — supports lifecycle, traits, default_traits
work_item_schemas:
  <schema-key>:
    lifecycle: <AUTO|MANUAL|AUTO_REOPEN|PERMANENT>   # optional
    notes:
      - <note-entry>
    traits:                    # optional list of trait keys to apply
      - <trait-key>
    default_traits:            # optional — traits added to every item matching this schema
      - <trait-key>

# Legacy — flat list under each key, still fully supported
note_schemas:
  <schema-key>:
    - <note-entry>

# Composable traits (reusable note bundles)
traits:
  <trait-key>:
    - key: <note-key>
      role: <queue|work|review>
      required: <true|false>
      description: "<description>"
      guidance: "<guidance>"

Additional top-level keys (workflows, status, cascade) are supported but not covered in this guide.

Note Schema Entry Fields

Field Type Required Allowed Values Description
key string yes Any non-empty string Note identifier. Must be unique within the schema.
role string yes queue, work, review Phase gate this note belongs to.
required boolean yes true, false If true, must be filled before start advances past this phase.
description string yes Any string Short description. Shown in get_context gate status output.
guidance string no Any string Longer authoring hint. Shown as guidancePointer in gate status.
skill string no Skill name Skill to invoke before filling. Shown as skillPointer.

Matching Rules

  1. Type-first lookup — the item's type field is looked up directly in work_item_schemas. If found, that schema is used.
  2. Tag fallback — if no type match, the item's tags are checked against schema keys. First matching tag wins. Tags are matched as exact substrings within the comma-separated tags string.
  3. Default schema — if neither type nor tags match, the default schema is used (if defined). Items with no match at all advance freely.

Minimal Config Example

work_item_schemas:
  task-implementation:
    lifecycle: AUTO
    notes:
      - key: acceptance-criteria
        role: queue
        required: true
        description: "Testable acceptance criteria for this task."
      - key: done-criteria
        role: work
        required: true
        description: "What does done look like? How was it verified?"

Config Location

  • Default: .taskorchestrator/config.yaml relative to the working directory.
  • Docker override: set AGENT_CONFIG_DIR environment variable to the directory containing .taskorchestrator/.
docker run -e AGENT_CONFIG_DIR=/project -v "$(pwd)"/.taskorchestrator:/project/.taskorchestrator:ro task-orchestrator:dev

10. Claim Mechanism for Multi-Agent Fleets

The claim mechanism prevents race conditions between independent agents competing for the same work items. It is optional: single-orchestrator deployments that serialize work dispatch do not need claims.

Operators: see Fleet Deployment Guide for degradedModePolicy, DATABASE_BUSY_TIMEOUT_MS, capacity planning, and a Claims Troubleshooting FAQ. The tool-level claim_item reference lives in API Reference.

Agent implementers: the bundled Claude Code plugin under claude-plugins/task-orchestrator/ targets default-mode single-agent orchestration. Its skills, hooks, and output style assume the agent-owned phase-entry pattern (advance_item called directly) — they do not reference claim_item or coordinate claim-then-advance sequencing. If you are building agents for a claim-based fleet, treat the bundled plugin's behavior as undefined and build claim-aware skills/hooks against the MCP tool surface directly (claim_item, advance_item, get_next_item, query_items, get_context). See the Fleet Deployment Guide — Scope for the public contract.

When to Use Claims

Skip claims if:

  • A single orchestrator dispatches work sequentially — it controls which agent gets which item.
  • Your fleet has a natural partition (e.g., each agent handles a different feature tree).

Use claims when:

  • 10 or more independent agents poll get_next_item and advance_item concurrently.
  • You observe agents starting the same item twice (the get_next_item → advance_item race).
  • Crash recovery requirements demand TTL-based automatic release.

Claim Lifecycle

The standard two-call pattern — discover then claim:

get_next_item()                     → find an unclaimed item
claim_item(claims=[{itemId, ttl}])  → claim it (auto-releases any prior claim by this agent)
  outcome=success → proceed with advance_item + work
  outcome=already_claimed → pick a different item (retryAfterMs available)
advance_item(trigger="start")       → ownership enforced: actor must match claimedBy
  ... do work ...
claim_item(claims=[{itemId}])       → heartbeat: refresh TTL (if work > TTL/2 = 450s)
advance_item(trigger="complete")    → ownership enforced at completion too

Single-claim-per-call: claim_item enforces claims.size ≤ 1. Calls with claims.size > 1 are rejected immediately with error code multi_claim_not_supported, regardless of whether entries use itemId or selector mode. Issue one claim_item call per item. The cap derives from the heartbeat write-budget assumption (one TTL refresh per agent per cycle); a future claim_heartbeats table mitigation could re-evaluate the constraint. The releases array remains batchable.

Atomic Find-and-Claim (Selector Mode)

The two-call pattern above has an inherent race: between get_next_item returning an item ID and claim_item(itemId=...) locking it, another agent can claim the same item. For high-concurrency fleets, selector mode eliminates the user-facing race window by resolving the filter and claiming the top match in a single MCP call. A much smaller server-side window between recommend and claim still exists and surfaces as already_claimed — typically rare in practice.

get_next_item and claim_item.selector accept identical filter shapes — the same tags, priority, type, complexityMax, createdAfter/Before, roleChangedAfter/Before, and orderBy parameters apply in both tools, backed by the same shared eligibility logic (NextItemRecommender).

Selector mode lifecycle:

claim_item(claims=[{ selector: { priority: "high", complexityMax: 4, orderBy: "oldest" }, ttlSeconds: 900 }],
           actor={...}, requestId=<uuid>)
  outcome=success, selectorResolved=true → proceed with advance_item + work (itemId is in the result)
  outcome=no_match, kind=permanent       → queue is empty for these filters; back off or wait
  outcome=already_claimed                → TOCTOU race (rare); retry immediately with a fresh requestId
advance_item(trigger="start")       → ownership enforced: actor must match claimedBy
  ... do work ...
claim_item(claims=[{itemId}])       → heartbeat: refresh TTL (use the itemId from the selector result)
advance_item(trigger="complete")    → ownership enforced at completion too

Fleet drain pattern using selector mode:

// Each agent calls this loop independently — no coordination needed
{
  "claims": [{
    "selector": { "orderBy": "oldest" },
    "ttlSeconds": 900,
    "claimRef": "worker-7-drain-loop"
  }],
  "actor": { "id": "worker-agent-7", "kind": "subagent" },
  "requestId": "<fresh UUID per iteration>"
}

orderBy: "oldest" provides fair-share FIFO draining: agents process items in creation order rather than racing to the same high-priority items. When no_match is returned, the queue is drained — the agent can idle, exit, or poll after a delay.

Selector hygiene and ancestor-claim filtering. In selector mode, items whose ancestor chain contains a live claim held by a different agent are automatically excluded from the eligible set. This sub-tree isolation protects in-progress feature orchestration from fleet drain workers picking up child items. Use specific selectors (parentId: null to restrict to top-level items, or tag filters such as tags: "feature") when your fleet operates at the top level; broader selectors like role: queue will naturally skip sub-items of in-progress features without returning errors. Items excluded by ancestor-claim filtering appear as no_match rather than surfacing information about the competing agent's identity. See Fleet Deployment Guide — Fleet Topology Patterns for recommended patterns.

claimRef (up to 64 chars) is echoed verbatim in every result and is useful for correlating claim results back to your agent's internal loop state without parsing itemId values.

Idempotency with selector mode. A (actor, requestId) cache hit replays the resolved response verbatim — the same itemId is returned, and the selector is not re-evaluated against fresh queue state. Use a fresh requestId per claim iteration, not per retry of the same iteration.

Heartbeat Pattern

For long-running work (longer than the TTL — default 900s), re-call claim_item before the TTL expires to refresh it. Recommended cadence: TTL/2 = 450s for the 900s default — the same convention used by Consul, etcd, and other lease-based distributed systems.

Re-claiming an already-held item:

  • Refreshes claimExpiresAt (new TTL from now)
  • Preserves originalClaimedAt (first claim timestamp is not overwritten)

Operators can inspect originalClaimedAt via get_context(itemId) to distinguish freshly-claimed items from long-running renewed work.

Heartbeat write overhead. Every re-claim is a row UPDATE on work_items. At 30 agents with TTL=900s, heartbeats produce approximately 4 writes/minute versus 30–60 writes/minute from real work transitions (~7% overhead). This is acceptable for v1. If writer contention from heartbeat traffic becomes a measured bottleneck, the mitigation is splitting heartbeats into a separate claim_heartbeats table (a non-breaking repository-layer change deferred to v1.5+).

Effect of complete and cancel on the Claim

advance_item(trigger="complete" | "cancel") transitions the role but does not clear the claim record. claimedBy, claimedAt, claimExpiresAt, and originalClaimedAt remain on the item until either the TTL elapses or claim_item(releases=[...]) is called.

This is harmless: terminal items reject new claims with the terminal_item outcome, so a residual claim on a completed item has no functional effect. reopen continues to enforce ownership against the original claim if the TTL has not elapsed. Well-behaved agents call claim_item(releases=[...]) after finishing work to make the audit trail explicit; it is not required for correctness.

Crash Recovery via Passive Expiry

There is no background reaper process. When an agent crashes or is killed, its claim expires naturally within the configured TTL (default 900s). Expired claims are filtered at read time:

  • get_next_item() (default includeClaimed=false) excludes items with live claims but includes items with expired claims.
  • query_items(claimStatus="expired") surfaces items with elapsed TTLs for operator inspection.

No manual cleanup is needed for correctness. Use get_context(itemId) to confirm whether a specific item's claim has expired (isExpired: true).

Discovery Patterns

Multi-role fleets use get_next_item(role=...) to target different pipeline stages:

Agent group Call
Work-group (implementation) get_next_item() (default role=queue)
Review-group get_next_item(role="review")
Triage-group get_next_item(role="blocked")
Fleet health operator get_next_item(includeClaimed=true) — includes claimed items, shows isClaimed boolean

includeClaimed for Fleet Visibility

get_next_item(includeClaimed=true) and query_items(claimStatus="expired") are the primary operator tools for debugging stale claims:

// Find all expired claims across the fleet
query_items(operation="search", claimStatus="expired")

// Diagnose a specific stalled item (full claim detail including identity)
get_context(itemId="uuid")
// Response includes claimDetail.claimedBy, claimDetail.isExpired, claimDetail.originalClaimedAt

get_context(itemId) is the only mode that exposes claimedBy identity — all other surfaces expose at most a isClaimed: boolean.


Quick Reference

Common Call Patterns

Goal Tool Call
Check what to work on next get_next_item(includeAncestors=true)
See all active work get_context(includeAncestors=true)
See container overview query_items(operation="overview")
Check gate before advancing get_context(itemId="uuid")
Advance to next phase advance_item(transitions=[{itemId, trigger:"start"}])
Fill a note manage_notes(operation="upsert", notes=[{itemId, key, role, body}])
Guidance consumption get_context(itemId="uuid")guidancePointer gives instructions for filling the first missing required note
Find blocked items get_blocked_items(includeAncestors=true)
Create a dependency chain manage_dependencies(operation="create", pattern="linear", itemIds=[...])
Cancel an item advance_item(transitions=[{itemId, trigger:"cancel"}])
Reopen a terminal item advance_item(transitions=[{itemId, trigger:"reopen"}])
Filter by phase query_items(operation="search", role="work")
Claim an item (fleet, ID mode) claim_item(claims=[{itemId, ttlSeconds:900}], actor={id, kind}, requestId=<uuid>)
Claim next eligible (selector) claim_item(claims=[{selector:{orderBy:"oldest"}}], actor={id, kind}, requestId=<uuid>)
Release a claim claim_item(releases=[{itemId}], actor={id, kind}, requestId=<uuid>)
Heartbeat (refresh TTL) claim_item(claims=[{itemId}], actor={id, kind}, requestId=<uuid>) — same as claim, TTL refreshed
Find expired claims query_items(operation="search", claimStatus="expired")
Diagnose stalled claim get_context(itemId="uuid") — returns claimDetail with claimedBy
Filter next item by tag get_next_item(tags="task-implementation", priority="high")
FIFO queue drain get_next_item(orderBy="oldest")

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