Tool Use Protocol

Tool use protocol refers to the formal interface by which an LLM agent invokes external tools, including the schema for declaring available tools, the format for invoking them, and the convention for returning results. Each major LLM provider has its own protocol: OpenAI's function calling (now "tools"), Anthropic's tool_use blocks, Google Gemini's FunctionCall protobufs, Mistral's tool_call array. The Model Context Protocol (MCP), released by Anthropic in November 2024, is an emerging open standard for tool use that decouples the tool inventory from any specific LLM provider — MCP servers expose tools through a uniform protocol that any compliant client can discover and invoke. MCP has gained rapid adoption in agent frameworks, IDEs (Claude Code, Cursor, Continue), and the broader ecosystem. AI governance teams document tool inventories, access scopes, and authentication requirements as part of agent AI compliance lineage. Standardized protocols like MCP simplify governance by providing one uniform place to audit, restrict, and meter tool access regardless of which LLM ultimately invokes them.

Standardized tool protocols with Centralpoint: Centralpoint orchestrates tool use across OpenAI, Anthropic, Gemini, MCP servers, and other providers in a model-agnostic stack with unified inventory and audit. Tokens are metered per skill and tool, prompts stay local, and tool-using chatbots deploy through one line of JavaScript on any portal.


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