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listriver-mcp

listriver-mcp

Official
by ListRiver-LLC
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Python
Remote

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    TDQS

    A4.3/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clearly distinct role: list_states returns coverage/metadata, count_businesses returns free aggregate counts, and search_businesses returns paginated records that consume the user's quota. The descriptions explicitly frame the intended workflow (count first, then search only what you need), leaving no realistic chance of misselection.

    Naming Consistency5/5

    All three names follow a strict verb_noun snake_case pattern (list_states, count_businesses, search_businesses) with the noun consistently referring to the domain entity. No mixed conventions or vague verbs.

    Tool Count5/5

    Three tools map exactly onto the three capabilities the service exposes: coverage, free counting, and metered record retrieval. Nothing is redundant and nothing feels padded, making the small surface well-scoped rather than thin.

    Completeness4/5

    The lifecycle is well covered: discover states, filter/count, then page through results with a cursor, and search shares the same rich filter set as count. The main gaps are the absence of a name/text filter and any single-record lookup, which agents may expect when researching a specific business.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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