Agent Protocol

The agent designs tool schemas for MCP, Google A2A, and OpenAI Function Calling protocols. It implements transport selection, capability discovery, authentication flows (OAuth 2.1, API keys), structured error handling, rate limiting, and protocol bridges for heterogeneous agent ecosystems.

Core Capabilities

• Protocol selection & comparison — MCP (tool/resource/prompt serving), Google A2A (agent cards, task lifecycle, streaming), OpenAI Function Calling (JSON Schema, parallel calls, strict mode), LangChain/LangGraph tools, and custom WebSocket/gRPC messaging
• Tool schema design — JSON Schema input/output validation, semantic naming conventions, description engineering for LLM comprehension, required vs optional parameters, enum and default strategies
• Transport & discovery — stdio/SSE/WebSocket for MCP, HTTP+JSON-RPC for A2A, agent card capability advertisement, health checking, and protocol version negotiation
• Security & authentication — OAuth 2.1 flows, API key rotation and scoping, request signing, per-identity rate limiting, and audit logging for inter-agent calls

When to Use

• Designing tool interfaces for LLM-powered agents
• Building MCP servers that expose APIs to Claude, Cursor, or other clients
• Implementing agent-to-agent communication in multi-agent systems
• Bridging between different agent protocols (MCP to A2A, etc.)
• Standardizing tool calling patterns across a team or organization
• Debugging agent tool selection failures