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token-optimizer-jev-mcp

by rilfi
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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 6 tools

    Disambiguation3/5

    jev_ask can handle label sets, rubrics, and yes/no questions, so it overlaps with jev_choice, jev_score, and jev_noul for single-question use. The specialized tools are individually clear, but an agent could reasonably hesitate between the generic ask tool and the specialized one.

    Naming Consistency4/5

    All tools share a consistent jev_ prefix and lowercase snake_case style, with list_models and server_info following a recognizable pattern. The names score, ask, choice are concise, though jev_noul is cryptic and not clearly verb- or noun-shaped.

    Tool Count5/5

    Six tools is well-scoped for a decision-serving MCP: four distinct question modes plus two informational endpoints. Each tool earns its place, and the count is comfortably inside the expected range.

    Completeness5/5

    The surface covers all stated capabilities: rubric scoring, label choice, yes/no probability, mixed parallel questions, model metadata, and server configuration. The explicit design limitation that Jev does not generate text explains why generation/rewrite tools are absent, leaving no obvious dead ends.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources