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OECD-Search

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    TDQS

    B3.4/5.0

    Scored across 9 tools

    Disambiguation4/5

    Most tools have distinct purposes, such as get_categories for category lists, query_data for data retrieval, and search_dataflows for dataset searches. However, get_categories and list_categories_detailed overlap significantly in purpose, both retrieving categories with only minor differences in detail level, which could cause confusion in selection.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern using snake_case, such as get_categories, query_data, and search_indicators. This uniformity makes the tool set predictable and easy to navigate, with no deviations in naming conventions.

    Tool Count5/5

    With 9 tools, the server is well-scoped for OECD data exploration, covering browsing, searching, querying, and metadata retrieval. Each tool serves a clear function, and the count aligns with typical server sizes, avoiding bloat or insufficiency.

    Completeness4/5

    The tool set provides comprehensive coverage for data discovery and access, including category listing, dataset browsing, searching, and data querying. A minor gap exists in update or management operations, but this is reasonable for a read-only data search server, and agents can work effectively with the available tools.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues