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Professor' Harvester

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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.7/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: archive handles compressed archives, fetch retrieves textual documents, fetchImage handles images, findWorks discovers scholarly works, and searchCache searches the local cache. No two tools overlap in function, and the descriptions explicitly clarify boundaries (e.g., fetchImage for images, fetch for documents).

    Naming Consistency5/5

    All tool names follow a consistent lowerCamelCase convention with single-word verbs or verb-noun combinations (archive, fetch, fetchImage, findWorks, searchCache). No mixing of styles like snake_case or inconsistent verb patterns, making the naming predictable and coherent.

    Tool Count5/5

    With 5 tools, the server is well-scoped for a document harvesting and discovery service. Each tool addresses a core aspect (fetching text, images, archives, discovery, and cache search) without redundancy, and the count is within the ideal 3-15 range.

    Completeness4/5

    The tool surface covers the main lifecycle: discovery (findWorks), retrieval (fetch, fetchImage), archive handling (archive), and cache search (searchCache). Minor gaps exist, such as lack of explicit cache management (e.g., clearing or deleting) or a dedicated bulk download tool, but agents can work around these with the provided tools.

    Maintenance

    ActivityActive
    ResponsivenessResponsive

    Resources