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AI · September 3, 2026

MCP Tool Definition Quality Score (TDQS) Spec

An open framework for scoring how well an MCP tool definition communicates to an AI agent. Specification, reference implementation, CLI and hosted API.

Visit tdqs.devAlternativestop 3% of September 2026

What it does

The description is the only thing an agent reads before it picks a tool. TDQS grades every definition on six weighted dimensions, explains each point, and turns the result into a tier you can gate a release on — the same numbers in your terminal, in CI, and across Glama's registry. $ npx mcp-tdqs score --command "node ./dist/server.js" --fail-under B Code extracts what the schema and annotations already say; a model grades only what the description adds beyond them. Every stage of the pipeline is specified, and the deterministic ones are exact to the digit across implementations. Deterministic code reads the schema and annotations: parameter coverage, output schema, behavioural hints,…from tdqs.dev

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