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michelgrolet

Location Memory

by michelgrolet
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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

    A3.9/5.0

    Scored across 14 tools

    Disambiguation5/5

    Each tool targets a distinct query: current location, stay lists, city/country rollups, place rankings, trip lists/details, people links, day timeline, stats, records, home timeline, data coverage, and raw SQL. The boundaries are clear from the descriptions, so an agent can reliably select the right tool.

    Naming Consistency3/5

    Tool names are all snake_case and readable, but they mix simple nouns (stays, trips, day, home) with compound descriptors (cities_visited, who_was_there, location_coverage). There is no consistent verb_noun or prefix pattern, though this inconsistency does not prevent comprehension.

    Tool Count5/5

    With 14 tools, the set is well-scoped for a location memory server. Each tool earns its place by covering a distinct query type, and the count falls within the ideal 3-15 range.

    Completeness5/5

    The tool surface is thoroughly complete for its domain: current status, lists, aggregates, details, stats, extremes, home timeline, coverage gaps, and a raw SQL escape hatch. There are no obvious dead ends for common location-history questions.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources