---

name: langchain-tools description: LangChain tool creation and integration utilities for agent systems allowed-tools:

• Read
• Write
• Edit
• Bash
• Glob
• Grep graph: domains: [domain:software-engineering] specializations: [specialization:ai-agents-conversational] skillAreas: [skill-area:tool-use, skill-area:tool-service-integration-agents] roles: [role:ml-engineer, role:backend-engineer] workflows: [workflow:feature-development, workflow:ml-model-lifecycle] topics: [topic:api-design]

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LangChain Tools Skill

Capabilities

• Create custom LangChain tools with proper schemas
• Integrate existing tools and APIs
• Design tool descriptions for optimal LLM understanding
• Implement structured tool inputs with Pydantic
• Handle tool errors and fallbacks
• Create tool chains and pipelines

Target Processes

• custom-tool-development
• function-calling-agent

Implementation Details

Tool Creation Patterns

1. @tool decorator: Simple function-based tools
2. StructuredTool: Tools with complex input schemas
3. BaseTool subclass: Full control over tool behavior
4. Tool from functions: Dynamic tool creation

Configuration Options

• Tool name and description
• Input schema (args_schema)
• Return type specification
• Error handling strategy
• Async/sync execution modes

Best Practices

• Clear, action-oriented descriptions
• Explicit input parameter documentation
• Proper error messages for LLM understanding
• Idempotent operations where possible

Dependencies

• langchain-core
• pydantic