langchain-tools

# 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