Tool Calling Architecture

Tool calling architecture defines how an AI agent discovers, selects, invokes, and processes results from external tools and APIs. It covers the full lifecycle: tool description formats (so the agent knows what's available), parameter schema validation (so calls are well-formed), execution strategies (sync vs async, parallel vs sequential), error handling (retries, fallbacks), and result parsing (turning raw API responses into useful context). A well-designed tool calling architecture is the difference between an agent that can do things and one that just talks about doing things.