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geolens-io

geolens-mcp

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    TDQS

    A4.4/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool has a clear, distinct target: dataset discovery, schema/trust metadata, feature retrieval, SQL querying, and map metadata. There is potential overlap between get_features and query for reading data, but the descriptions frame them as different access modes (GeoJSON features vs. read-only SQL) so an agent can choose intentionally.

    Naming Consistency4/5

    Most tools follow a consistent verb_noun pattern (search_datasets, get_features, get_dataset_schema, list_maps, get_map). The bare `query` tool is the only deviation, but it is a recognizable verb and does not clash with the others.

    Tool Count5/5

    Six tools is well-scoped for a geospatial catalog and map metadata server: three for dataset introspection/access, two for saved maps, and one for SQL. Each tool fills a distinct role without redundancy or sprawl.

    Completeness4/5

    The read-only dataset workflow is well covered: discover, inspect schema, fetch features, or run SQL. Minor gaps exist, such as no explicit list-all-datasets or per-feature lookup endpoint, but agents can work around them with search and query.

    Maintenance

    ActivityActive
    ResponsivenessUnresponsive