This release adds 2 notable features for engineering teams evaluating rollout.
✓ No known CVEs patched in this version
Topics
+2 more
Summary
AI summaryAll 44 MCP tool descriptions rewritten to meet Glama TDQS with a three‑sentence template.
Full changelog
Glama Tool Definition Quality Score (TDQS) overhaul
Every one of the 44 MCP tools now ships a 3-sentence description hitting all six Glama TDQS dimensions:
- Purpose — what the tool does, in one sentence.
- Usage guidelines — when to use it, explicitly disambiguated against sibling tools.
- Behavioral transparency — side effects (mutations, audit logs, network calls), idempotency, and the exact return shape.
The server-level TDQS score weights the per-tool minimum at 40% (60% mean / 40% min), so this release specifically targets lifting the worst per-tool descriptions to drag the floor up.
Changed
- All 44 MCP tool descriptions rewritten using the 3-sentence template.
commonSchemas(scope,projectPath,env,teamId,orgId).describe()strings now include formats, defaults, conditional requirements, and concrete examples.- Per-tool Zod
.describe()strings tightened across all 10 tool files. - README MCP tables resynced with the new one-liners.
feature-docs-sync.mdcandrelease-process.mdcrules updated for the moved-out marketing site (qring.i4c.studio).
Notes
- No runtime / MCP wire-format changes. Tool names, parameter names, parameter types, and return shapes are unchanged. Existing agents and integrations will simply see longer, clearer descriptions on the next
tools/listrefresh. - After this release publishes, trigger a Glama re-sync from the admin panel so the new TDQS scoring run picks up the improved descriptions.
- Marketing site sync (qring.i4c.studio) ships separately.
Install
npm install -g @i4ctime/[email protected]
# or
brew upgrade i4ctime/tap/qring
Verify
qring --version # should print 0.11.7
qring --help
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About I4cTime/quantum_ring
Quantum-inspired keyring for AI coding agents. Secure secrets with superposition, entanglement, tunneling, and teleportation.
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Beta — feedback welcome: [email protected]