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RealRun

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by baseledgerip
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    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

    A4/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: listing tasks, getting detailed scores, getting recommendations, and getting warnings. There is no overlap in functionality; an agent can easily select the right tool based on the need.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern: list_tasks, get_scores, recommend_model, get_warnings. The convention is predictable and uniform.

    Tool Count5/5

    With only 4 tools, the server is well-scoped for its purpose of providing AI model evaluation and recommendations. Each tool earns its place and the count is neither too thin nor too heavy.

    Completeness5/5

    The tool set covers the full lifecycle: discovering tasks (list_tasks), comparing models (get_scores), getting a tailored recommendation (recommend_model), and checking warnings (get_warnings). There are no obvious missing operations for this domain.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive

    Resources