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DoorProfit Crime & Neighborhood Data

by shawndoor
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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 targets a clearly distinct data domain: crime/safety, neighborhood demographics, registered offenders, and API usage. The descriptions explicitly cross-reference one another (e.g., 'use search_offenders, not get_crime_data') to prevent misselection. There is no overlap between any two tools.

    Naming Consistency4/5

    Tools follow a consistent get_/search_ verb-noun pattern (get_crime_data, get_neighborhood_data, get_api_usage, search_offenders). get_ vs search_ is a minor semantic deviation where search_offenders conveys a different query mode, but the pattern is otherwise highly regular.

    Tool Count5/5

    Four tools is a well-scoped surface for a neighborhood-data server. Each tool covers a distinct domain (crime, demographics, offenders, quota) and earns its place without bloat or redundancy.

    Completeness4/5

    The surface covers the three core residential-data questions (safety, demographics, offenders) plus operational quota management. Minor gaps exist — no school or transit data — but the stated domains are fully addressed and the free-test-address and pagination details suggest mature handling of edge cases.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources