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mcp-ldbd

by kkjh0723
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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

    A4.1/5.0

    Scored across 10 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: market data (indicators, asset info, base rates, macro, trending) versus personal actions (submit prediction, my stats, open predictions, track record). Even the 'my' tools are differentiated by open vs resolved vs summary. No two tools could be easily confused.

    Naming Consistency5/5

    All tool names follow the strict ldbd_<verb>_<object> pattern in snake_case. Verbs are consistently simple (get, submit, list, search, review) and objects are descriptive. This is a uniformly predictable naming convention.

    Tool Count5/5

    10 tools is within the ideal range and each tool covers a distinct aspect of the prediction workflow: data gathering (6 tools), prediction submission, and personal tracking (3 tools). The count feels well-scoped with no obvious bloat or redundancy.

    Completeness4/5

    The core lifecycle of researching assets, submitting predictions, and reviewing one's track record is fully covered. Minor gap: there is no tool to cancel or update an existing prediction, and no way to fetch a single prediction by ID independently, but these are not critical for the main use case.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

    Resources