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podcast-recommendations

by surendranb
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Python
Remote

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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

    A3.7/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: roulette for random long-tail discovery, trending for top charts, peek for inspecting a specific feed, list_genres as a helper for the first two, and skills tools for meta-guidance. No two tools overlap in function, so an agent can reliably pick the right one.

    Naming Consistency2/5

    Naming conventions are inconsistent. list_genres follows verb_noun, but skills_list and skill_read invert to noun_verb, while roulette, trending, and peek are single nouns or verbs without a pattern. This mixed style makes it harder to predict tool names.

    Tool Count5/5

    Six tools is well-scoped for a podcast recommendation server: four core data-access tools plus two meta-tools for guidance. Each earns its place, and the count is neither sparse nor overwhelming.

    Completeness4/5

    The tool surface covers the primary workflows: discovering podcasts (roulette, trending), inspecting them (peek), and enumerating valid genres (list_genres). A minor gap is the lack of a direct search by podcast name (peek requires a feed URL), but this is not a fundamental hole for the server's purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources