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Lilly-Tech-Collab

ai-school-mcp

by Lilly-Tech-Collab
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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

    A4.4/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool serves a distinct purpose: search (search_lessons), list (list_tracks), detail (get_track), and content retrieval (read_lesson). Overlap is minimal and clearly resolved by descriptions.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case: search_lessons, list_tracks, get_track, read_lesson. No mixing of styles or ambiguous verbs.

    Tool Count5/5

    Four tools perfectly cover the browsing and content-retrieval workflow without redundancy. The count is well-scoped for the domain.

    Completeness5/5

    The tool surface covers discovery (search, list), navigation (track details), and consumption (read lesson). No significant gaps for the curriculum-browsing use case.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources