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Waterboards MCP Server

by skandru
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Python
Hybrid

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    Deploy Server
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    TDQS

    A4.4/5.0

    Scored across 7 tools

    Disambiguation4/5

    Tools are largely distinct by resource and input key (ZIP vs pws_id), so most selections are clear. The two source-chemistry tools could be briefly confused because they share the same output schema, but the descriptions and name qualifiers ('near_zip' vs 'system') clarify scope.

    Naming Consistency5/5

    All names use a consistent waterboards_ prefix and snake_case verb_noun pattern. Verb choices (list/find/get) are appropriate and no mixed conventions appear.

    Tool Count5/5

    7 tools is well-scoped for a read-only water-data server. Each tool covers a clear data domain or lookup mode, with no redundant or filler tools.

    Completeness4/5

    The surface covers dataset discovery, water-system lookup, source chemistry by geography and system, school lead, and ZIP tap water. Minor gaps remain, such as direct tap-water or school-lead lookup by pws_id/system and broader search by county or system name, but core workflows are supported.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources