OECD-Search
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TDQS
Scored across 9 tools
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.
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.
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.
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.