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q6066697

rag-mcp-server

by q6066697

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    TDQS

    A4.7/5.0

    Scored across 3 tools

    Disambiguation5/5

    Tools have clear boundaries: search_documents retrieves candidates, get_document fetches full text by ID, rerank_results reorders given IDs. No overlap in purpose, and each description explicitly states when to use it.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern (search_documents, get_document, rerank_results) in snake_case. Naming convention is uniform and predictable.

    Tool Count5/5

    Three tools is well-scoped for a focused retrieval server: search, fetch full content, and re-rank. Each tool serves a distinct step in the pipeline without redundancy, fitting the typical 3-15 range.

    Completeness5/5

    The tool surface covers the full read-only retrieval workflow: hybrid search with snippets, full document access, and optional cross-encoder re-ranking. No missing operations are needed for the stated purpose.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues