fix: Improve docs using apify-writing-style

Author: jirispilka

README.md

@@ -38,7 +38,7 @@ Strands Agents Tools is a community-driven project that provides a powerful set
 
 - 📁 **File Operations** - Read, write, and edit files with syntax highlighting and intelligent modifications
 - 🖥️ **Shell Integration** - Execute and interact with shell commands securely
-- 🧠 **Memory** - Store user and agent memories across agent runs to provide personalized experiences with Mem0, Amazon Bedrock Knowledge Bases, Elasticsearch, and MongoDB Atlas
+- 🧠 **Memory** - Store user and agent memories across agent runs to provide personalized experiences with both Mem0, Amazon Bedrock Knowledge Bases, Elasticsearch, and MongoDB Atlas
 - 🕸️ **Web Infrastructure** - Perform web searches, extract page content, and crawl websites with Tavily and Exa-powered tools
 - 🌐 **HTTP Client** - Make API requests with comprehensive authentication support
 - 💬 **Slack Client** - Real-time Slack events, message processing, and Slack API access
@@ -202,7 +202,7 @@ result = agent.tool.mcp_client(
     tool_args={"x": 10, "y": 20}
 )
 
-# Connect to an SSE-based server
+# Connect to a SSE-based server
 agent.tool.mcp_client(
     action="connect",
     connection_id="web_server",
@@ -273,7 +273,7 @@ response = agent.tool.http_request(
     auth_token="your_token_here"
 )
 
-# Convert HTML webpages to Markdown for better readability
+# Convert HTML webpages to markdown for better readability
 response = agent.tool.http_request(
     method="GET",
     url="https://example.com/article",

src/strands_tools/apify.py

@@ -394,7 +394,7 @@ def apify_run_actor(
         run_input: JSON-serializable input for the Actor. Each Actor defines its own
             input schema - check the Actor README on Apify Store for required fields.
         timeout_secs: Maximum time in seconds to wait for the Actor run to finish. Defaults to 300.
-        memory_mbytes: Memory allocation in MB for the Actor run. Uses Actor default if not set.
+        memory_mbytes: Memory allocation in MB for the Actor run. Uses Actor default `memory` value if not set.
         build: Actor build tag or number to run a specific version. Uses latest build if not set.
 
     Returns:
@@ -483,7 +483,7 @@ def apify_run_actor_and_get_dataset(
         run_input: JSON-serializable input for the Actor. Each Actor defines its own
             input schema - check the Actor README on Apify Store for required fields.
         timeout_secs: Maximum time in seconds to wait for the Actor run to finish. Defaults to 300.
-        memory_mbytes: Memory allocation in MB for the Actor run. Uses Actor default if not set.
+        memory_mbytes: Memory allocation in MB for the Actor run. Uses Actor default `memory` value if not set.
         build: Actor build tag or number to run a specific version. Uses latest build if not set.
         dataset_items_limit: Maximum number of dataset items to return. Defaults to 100.
         dataset_items_offset: Number of dataset items to skip for pagination. Defaults to 0.
@@ -538,7 +538,7 @@ def apify_run_task(
         task_id: Task identifier in "username/task-name" format or a task ID string.
         task_input: Optional JSON-serializable input to override the task's default input fields.
         timeout_secs: Maximum time in seconds to wait for the task run to finish. Defaults to 300.
-        memory_mbytes: Memory allocation in MB for the task run. Uses task default if not set.
+        memory_mbytes: Memory allocation in MB for the task run. Uses task default `memory` value if not set.
 
     Returns:
         Dict with status and content containing run metadata: run_id, status, dataset_id,
@@ -587,7 +587,7 @@ def apify_run_task_and_get_dataset(
         task_id: Task identifier in "username/task-name" format or a task ID string.
         task_input: Optional JSON-serializable input to override the task's default input fields.
         timeout_secs: Maximum time in seconds to wait for the task run to finish. Defaults to 300.
-        memory_mbytes: Memory allocation in MB for the task run. Uses task default if not set.
+        memory_mbytes: Memory allocation in MB for the task run. Uses task default `memory` value if not set.
         dataset_items_limit: Maximum number of dataset items to return. Defaults to 100.
         dataset_items_offset: Number of dataset items to skip for pagination. Defaults to 0.