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apiguru-app

apiguru-amazon-data

by apiguru-app
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Python
Hybrid

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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

    A4.5/5.0

    Scored across 12 tools

    Disambiguation5/5

    Each tool's description explicitly names its domain and cross-references the alternatives it must not be confused with (search vs seller_products vs best_sellers vs deals; product_details vs product_details_batch vs offers_stock; product_reviews vs seller_reviews). Boundaries are crisp and encoded in the text, so an agent can reliably select the right tool.

    Naming Consistency4/5

    All names are snake_case and readable, using a clear resource-oriented convention (product_details, seller_reviews, offers_stock). It is not a strict verb_noun pattern—several are bare nouns (search, deals, best_sellers)—but the style is uniform and predictable.

    Tool Count5/5

    12 tools is well within a healthy range and every tool earns its place: single-item vs batch variants, distinct resources, and two clearly-scoped meta tools (list_capabilities, send_feedback). No redundancy or padding.

    Completeness4/5

    The surface covers search, storefronts, product detail/batch, offers/stock, seller profiles, best-sellers, deals, product and seller reviews, plus a capabilities planner—a broad, coherent lifecycle. Minor gap: no standalone category/browse-tree tool (partly absorbed into best_sellers), but core workflows have no dead ends.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources