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research-mentor-rag

by GelortZCY
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Python
Hybrid

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    TDQS

    C2.8/5.0

    Scored across 6 tools

    Disambiguation4/5

    Each tool targets a distinct aspect of the research workflow, but research_route and research_mentor both involve stage retrieval. Their descriptions clarify different purposes: route returns next actions while mentor selects specialist methods, so most agents can differentiate them.

    Naming Consistency4/5

    All tools share the consistent 'research_' prefix, and most use action-oriented names like bootstrap, route, and mentor. The mix of verb and noun forms (e.g., controller vs. frontier_search) is a minor deviation from a strict verb_noun pattern.

    Tool Count5/5

    Six tools are well-scoped for a research mentor RAG system, covering initialization, direct query, routing, mentoring, live search, and orchestration. This is a reasonable number that avoids both thinness and bloat.

    Completeness4/5

    The tool set covers the full workflow from bootstrapping the RAG runtime to answering after a novelty search, including a controller that orchestrates the process. Minor gaps exist, such as no explicit tool for updating the RAG corpus, but core operations are complete.

    Maintenance

    ActivityMaintained
    ResponsivenessSyncing

    Resources