Tools Overview
Tools enable AI agents to interact with the external world through a unified interface. The framework includes built-in tools for common tasks and supports custom tool development for specialized use cases.What are Tools?
Tools are programmable functions that AI agents can call to interact with external systems and perform specific tasks. They extend agent capabilities beyond text generation to include file operations, code execution, web browsing, and system interactions.Key Characteristics
- Action-Oriented: Tools perform specific actions rather than generate responses
- Type-Safe: Full type support with runtime schema validation
- Standardized Interface: All tools implement a consistent base interface
- Error Handling: Structured error responses with categorized error types
- Context-Aware: Tools can access execution context and maintain state
How Agents Use Tools
- Reasoning: Agent analyzes the user request and determines which tools are needed
- Selection: Agent chooses appropriate tools based on descriptions and schemas
- Invocation: Agent calls tools with validated parameters
- Observation: Agent processes tool results and error responses
- Response: Agent incorporates tool outputs into the final response
Tool Categories
Built-in Tools
A comprehensive set of built-in tools for common agent tasks:File System Tools
Complete file and directory operations with configurable toolkits
Code Execution Tools
Secure multi-language code execution with sandboxed and local options
Command Line Tools
Shell command execution with operator-based architecture
MCP Tool
Model Context Protocol integration for external tool ecosystems
Custom Tools
Build specialized tools tailored to your specific use cases:Function Tools
Create tools from TypeScript/JavaScript functions
Connect Custom MCP Services
Model Context Protocol integration for external tool ecosystems
Tool Architecture
Tools follow a consistent architecture pattern:- Sandboxing: Tools execute in isolated environments for security
- Schema Validation: Input parameters are validated against defined schemas before execution
- Error Handling: Structured error responses enable agents to handle failures gracefully
- Context Integration: Tools can access and modify execution context
- Standardized Output: Consistent result format across all tools simplifies agent processing