Add repair_run action to manage_job_runs MCP tool#444
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calreynolds merged 2 commits intomainfrom Apr 13, 2026
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Summary
repairaction tomanage_job_runsMCP tool, enabling retry of only failed tasks instead of re-running entire jobsrepair_run()core function following the existingrun_job_nowpatternrerun_all_failed_tasks,rerun_dependent_tasks,rerun_tasks, andlatest_repair_idCloses #392
Problem
When a job run had failed tasks, the LLM had no way to repair the run via MCP. The
repairaction was missing frommanage_job_runs, so attempts fell through to aValueError. The LLM then fell back torun_now, re-running all tasks (including successful ones), wasting compute and time.Changes
databricks-tools-core/.../jobs/runs.pyrepair_run()functiondatabricks-tools-core/.../jobs/__init__.pyrepair_rundatabricks-mcp-server/.../tools/jobs.py"repair"action dispatch with error handlingdatabricks-tools-core/tests/.../conftest.pyfailing_notebook_pathfixturedatabricks-tools-core/tests/.../test_runs.pyTestRepairRunclassTest plan
TestRepairRun)rerun_all_failed_tasks=Truereturnsrepair_idlatest_repair_id