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ap-aesthetics

ap-aesthetics

by ginsonko
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JavaScript
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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

    B3.2/5.0

    Scored across 10 tools

    Disambiguation4/5

    Each tool has a distinct verb+object focus: evaluate vs compare vs sensitivity vs audience_panel are separable evaluation modes, and fit/apply/tune form distinguishable calibration steps. Mild overlap among the evaluation tools (ap_evaluate, ap_compare, ap_sensitivity) is resolved by explicit descriptions.

    Naming Consistency4/5

    All names share a consistent ap_ prefix and are snake_case, but the pattern mixes noun forms (ap_catalog, ap_template, ap_audience_panel, ap_sensitivity) with verb-based forms (ap_evaluate, ap_fit_calibration, ap_tune_parameters). Readable and predictable overall, just not uniformly verb_noun.

    Tool Count5/5

    Ten tools is well within the ideal 3-15 range and each maps to a distinct capability in the evaluation/calibration pipeline. No redundant or filler tools are apparent.

    Completeness4/5

    The surface covers a full workflow: reference lookup, templating, evaluation, comparison, panel, sensitivity, dataset inspection, and fit/apply/tune calibration. Minor gaps around persistence/export of results, but core lifecycle is intact.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources