An open framework for scoring how well an MCP tool definition communicates to an AI agent – the Tool Definition Quality Score (TDQS).. An open-source mcp server for the AI coding ecosystem.
Last commit June 15, 2026, 150 days ago.
21 GitHub stars and 0 Honeystax upvotes. Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
Starts at 6. Added: last commit 150 days ago +14, GitHub health 25/100 +22, no security policy +8, no contributing guide +4, no code of conduct +3.
AI Agent
Universal
Model
Multiple
Fastest way to find out if Tool Definition Quality Score (TDQS) belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
claude mcp add tool-definition-quality-score-tdqs -- npx tool-definition-quality-score-tdqsRun this first. You will know quickly if the workflow earns a permanent slot.
claude mcp remove tool-definition-quality-score-tdqsNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude.json └─ mcp_servers/ └─ tool-definition-quality-score-tdqs ← registers here
Tool Definition Quality Score (TDQS) is listed on Honeystax as a MCP Server for Universal, since August 8, 2026. Its code is at github.com/glama-ai/tool-definition-quality-score, with 21 GitHub stars and 3 open issues. Last commit June 15, 2026, 150 days ago. GitHub's community health check gives it 25 out of 100.
Source: GitHub repository
Source check: August 15, 2026
Upstream commit: June 15, 2026
Repository state: Not marked archived
Honeystax upvotes are community interest signals, not star ratings. GitHub stars and repository health are source measurements; editorial risk and trial-cost notes are Honeystax analysis.