system-brain-mcp
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TDQS
Scored across 11 tools
Each tool targets a distinct resource or action: deploys, backlog, DB schema, ML models, analytics, architecture docs, fabrication audit, lenses, roadmap, recommend, and reframe. Descriptions clearly separate related tools like db_schema vs. analytics and backlog vs. roadmap.
All tools share the 'brain_' prefix, creating a clear family, but the suffixes mix nouns (backlog, analytics, architecture), verbs (recommend, reframe), and query-like phrases (where_deploys). This is mostly consistent but not a strict verb_noun pattern.
11 tools is well within the ideal range for a decision-support brain. Each tool covers a discrete capability needed for the apparent domain, and none feel redundant or superfluous.
The tool surface covers the full gather-analyze-recommend-reframe loop using available evidence sources. Minor gaps exist—e.g., no direct GitHub issue/PR detail lookup beyond the backlog aggregate, and no tool for explicit doc searches—but agents can work around these.