Yes, with the usual care.

Findings (1)

• lowUnusually long tool description (over 2,000 characters)poison.long-description

  tool ibge_sidra: …Queries SIDRA tables (IBGE's Automatic Recovery System). SIDRA contains data from IBGE surveys like Census, PNAD, GDP, etc. Common tables: - 6579: Population estimates (annual) - 9514: Census 2022 population - 200: Census population (1970-2010) - 4714: Population, territorial area and density (Census 2022) - 4099: Unemployment rate (PNAD Contínua, quarterly) - 5436: Average real income (PNAD Contínua, quarterly) - 6706: GDP at current prices - 5938: GDP per capita Territorial levels: - 1: Brazil - 2: Region (North, Northeast, etc.) - 3: State (UF) - 6: Municipality - 7: Metropolitan Region Examples: - Brazil population 2023: tabela="6579", periodos="2023" - Population by state: tabela="6579", nivel_territorial="3" - Census 2022 by municipality: tabela="9514", nivel_territorial="6", localidades="3550308" Statistics mode: for **largest/smallest/mean/median/distribution/ranking** questions ("which municipality has the largest population?", "median GDP by state") use estatisticas=true — it computes min/max/mean/median/std-dev/labeled percentiles over ALL data rows BEFORE pagination and returns top/bottom rankings (default 10, cap 100 via topN), so one call answers what would otherwise require paging thousands of records. With agruparPor="<column label>" (e.g. "Unidade da Federação", "Ano") it ranks groups by descending sum, each with its own mini-distribution. Queries mixing several variables auto-group by "Variável" (units differ). SIDRA absence markers ("-", "..", "...", "X") are excluded from n. In this mode pagina/campos/formato are ignored and registros comes empty. Very large queries are refused by the source (since 2026-09-16 SIDRA tables are read through the Aggregates API, whose ceiling is lower than SIDRA's old 100,000-value cap: all municipalities × 12 yearly periods fails, × 8 works) — narrow periodos (e.g. "last 4") or raise nivel_territorial. ibge_sidra is the low-level engine. Prefer a friendlier wrapper when it fits: - Census themes (1970–2022) → ibge_censo - Economic/social time series → ibge_indicadores - Rank/compare 2–10 localities → ibge_comparar - One municipality's panel → ibge_cidades Use ibge_sidra_tabelas and ibge_sidra_metadados to find a table code and its structure before querying. Behavior: read-only and idempotent — a live GET against the public IBGE SIDRA API. Returns Markdown plus a typed structuredContent payload.…