No user-submitted related servers found.
Scored across 15 tools
Most tools have distinct purposes, but some overlap exists among dataset discovery tools (bfs_browse_catalog, bfs_search_tables, bfs_featured_datasets) and data retrieval tools (bfs_get_data vs. bfs_education_stats, bfs_population, bfs_compare_cantons). The detailed descriptions help an agent differentiate them, so confusion is unlikely but possible.
The tool names are uniformly snake_case with a strong 'bfs_' prefix for BFS data tools, and many use a verb_noun pattern (bfs_get_data, bfs_compare_cantons, lookup_commune). However, several convenience tools break the pattern with noun-only names (bfs_population, bfs_construction_activity, bfs_price_index), making the naming slightly inconsistent.
With 15 tools, the server sits at the upper boundary of the ideal range. Each tool serves a clear purpose in the statistical workflow, from catalog discovery and metadata retrieval to specialized data extractions and commune reference lookups. No superfluous tools.
The server covers the full statistical query lifecycle: browsing/searching for tables, retrieving metadata, fetching filtered data, and convenience wrappers for key domains (education, population, construction, prices). It also includes essential commune reference tools for re-keying historical data. No significant gaps are apparent.