agentsop-http-tool-wrapping

What problem does it solve?

Turns a REST / GraphQL / RPC API into a language-model-friendly set of callable tools so agents can reliably choose the right action, pass correctly typed inputs, handle errors safely, and avoid context blowups.

Core Features & Use Cases

• Intent-first tool design: produces one tool per user/agent intent (not one tool per endpoint), improving selection accuracy.
• Typed schemas for inputs and outputs: flattens wire parameters into validated, model-facing JSON/Pydantic schemas and returns trimmed, reason/act-relevant responses.
• Production-grade reliability: implements timeout, retry with jitter, pagination via cursor, structured error contracts, auth injection at the wrapper boundary, and idempotency hooks for mutations.
• Cross-framework portability: defines a single Pydantic/JSON Schema and binds it to OpenAI function calling, Anthropic tool_use, MCP, LangChain/LangGraph, and CrewAI tool interfaces.

Quick Start

Ask the AI to wrap your external API into LM-callable tools by triaging endpoints to ≤10 intents, defining typed request/response schemas, and generating framework bindings for your target agent runtime.