Banco Central do Brasil (BCB) — SGS MCP
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TDQS
Scored across 17 tools
The descriptions are unusually explicit, with 'Quando usar / Quando NÃO usar' sections that steer selection between the closely related bcb_serie_valores, bcb_serie_ultimos, bcb_variacao, bcb_comparar and bcb_correlacao. The only real overlap is between bcb_buscar_serie and the generic search tool, both of which search the series catalog; descriptions distinguish them (code discovery vs. Deep Research contract) but an agent could still hesitate there.
Nearly every tool follows a clean bcb_<domain>_<action> snake_case pattern (bcb_serie_valores, bcb_focus_selic, bcb_cambio_cotacao), with predictable prefixes grouping series, focus and cambio families. The bare 'search' and 'fetch' break the convention, though their generic naming is mandated by the OpenAI Deep Research contract and is flagged as such.
17 tools is on the heavy side but each maps to a distinct analytical capability (discovery, raw data, variation, comparison, correlation, deflation, Focus, FX, plus the required search/fetch pair), so nothing feels redundant. It lands at the upper bound of comfortable rather than being bloated.
The surface covers the full lifecycle: discovering series (bcb_buscar_serie, bcb_series_populares), inspecting metadata and values, deriving analytics (variation, comparison, correlation, deflation), plus dedicated Focus expectations and FX calibration tools and the search/fetch document pair. No obvious operational gap remains for the stated SGS/Focus/PTAX domain.