fiscus
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TDQS
Scored across 9 tools
Each tool targets a distinct data source or operation: provenance for cache keys, source_caveats for context binding, find_series for search, get_series for general fetch, and specific tools for BEA NIPA, FiscalData, file downloads, Z.1 series, and SOMA holdings. No two tools have overlapping purposes.
Tool names use lowercase with underscores, but conventions vary: some are verb_noun (find_series, get_series, get_file), some are noun_noun (bea_nipa_table, fiscaldata_query, z1_series, soma_holdings), and 'provenance' is a single noun. This mix of verb-first and noun-first patterns reduces predictability.
With 9 tools covering search, general fetch, specific data sources, file download, and metadata retrieval, the count is well-scoped for an economic data server. No tools feel redundant or missing.
The tool set covers core operations: search, fetch for multiple families (FRED, BEA, BLS, OFR, NY Fed, TreasuryDirect), specific endpoints for NIPA, FiscalData, Z.1, and SOMA, plus provenance and caveats. Minor gaps include no explicit tool for listing all available families, but find_series and get_series cover most needs.