tool-specification

Tool interfaces for AI agents are defined using JSON Schema, XML, or TypeScript formats to create scalable descriptions. This enables agents to manage large toolsets, handle nested delegation, and execute parallel operations safely through structured definitions.

Permission gating for function calling is implemented by categorizing tool calls into Prohibited, Explicit Permission, or Regular tiers. This safety constraint mechanism ensures AI agents cannot execute sensitive operations without proper authorization during tool orchestration.

Tool discovery works through specified grouping strategies that manage large toolsets for AI agents. These discovery mechanisms allow agents to automatically identify, select, and compose relevant external tools dynamically during execution rather than loading all definitions simultaneously.

The tool execution lifecycle is managed by defining patterns that span discovery, execution, and result handling, including error recovery. This lifecycle management ensures continuous operation when AI agents call external tools and encounter execution failures.

Yes, you can build an agent that automatically discovers and calls external tools safely by applying defined discovery plans and permission gating. This approach satisfies safety constraints while allowing autonomous tool selection and nested delegation in tool-rich scenarios.