langchain-tools
// LangChain tool creation and integration utilities for agent systems
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stars:384
forks:73
updated:March 4, 2026
SKILL.mdreadonly
SKILL.md Frontmatter
namelangchain-tools
descriptionLangChain tool creation and integration utilities for agent systems
allowed-toolsRead,Write,Edit,Bash,Glob,Grep
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
- @tool decorator: Simple function-based tools
- StructuredTool: Tools with complex input schemas
- BaseTool subclass: Full control over tool behavior
- 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