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    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to parse and search documents including PDF, Word, Excel, PowerPoint, and images via OCR, with support for semantic search and batch processing.
      2
      MIT
    • F
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to securely search and list internal company documents via MCP tools, so they can answer employee questions based on current internal documentation.
      -
    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to intelligently search and reference documentation using hybrid semantic + keyword search via MCP protocol.
      -

    TDQS

    A4.1/5.0

    Scored across 12 tools

    Disambiguation5/5

    Each tool targets a distinct resource or lifecycle action: products, projects, drafts, published documents, review/approval, search, and metadata lookups. The only potentially overlapping pair (update_draft vs update_document) is clearly separated by WIP status vs published status.

    Naming Consistency4/5

    Tool names follow a consistent hermes_verb_noun pattern (list_*, create_*, update_*, get_*, approve_*, request_*), with a minor deviation in hermes_me which lacks an explicit verb. Overall the naming convention is predictable and readable.

    Tool Count5/5

    Twelve tools is well within the typical well-scoped range and each tool supports a distinct part of the document management workflow. No redundant or filler tools are present.

    Completeness4/5

    The core document lifecycle is covered: create draft, update draft, request review, approve, update published metadata/status, search, and retrieve. Minor gaps exist around rejection/request-changes and explicit deletion, but these are workable given the documented status transitions.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues