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Read-onlyIdempotent

Find IBGE catalog documents from a keyword or natural-language query; returns up to 10 matching ids, titles and URLs to pass to fetch for reading.

Instructions

Searches the IBGE (Brazilian official statistics: SIDRA tables, municipalities, known indicators) catalog and returns up to 10 matching documents as { id, title, url }, ordered by relevance (an empty list means nothing matched).

This tool exists for the OpenAI Deep Research contract: ChatGPT deep research, company knowledge and research workflows over the Responses API require exactly the tools search and fetch. Pass one of the returned ids to fetch to read the document. For direct questions and for data (values, series, rankings) prefer the ibge_* tools (ibge_sidra, ibge_cidades, ibge_indicadores, ibge_comparar…), which return the actual data with provenance — this is a catalog index, not a data query.

Query: natural language or keywords, Portuguese or English; accents and case are ignored.

Behavior: read-only and idempotent — the catalog comes from the public source and is cached in memory.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesTermos de busca em linguagem natural ou palavras-chave (acentos e caixa são ignorados)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultsYesDocumentos encontrados, em ordem de relevância
provenanceYesBloco de proveniência (contrato v1.1): fonte, URL, período, extração, diagnóstico de origem e licença
attributionYesURLs canônicas das fontes desta resposta (lista de atribuição)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv5.5.1
    • addedInput schema / additionalProperties
      Added value: +false
  2. Changed3 schema fields changedv5.4.0
    • changedOutput schema / properties / provenance / description
      Previous value: -"Bloco de proveniência (contrato v1.0): fonte, URL, período, extração e licença"New value: +"Bloco de proveniência (contrato v1.1): fonte, URL, período, extração, diagnóstico de origem e licença"
    • addedOutput schema / properties / provenance / properties / retrieval
      Added value: +{
      +  "anyOf": [
      +    {
      +      "additionalProperties": false,
      +      "properties": {
      +        "anomalies": {
      +          "description": "Anomalias superadas até o sucesso, somadas por classe, em ordem fixa; [] se nenhuma",
      +          "items": {
      +            "additionalProperties": false,
      +            "properties": {
      +              "count": {
      +                "description": "Ocorrências desta classe na chamada",
      +                "maximum": 9007199254740991,
      +                "minimum": 1,
      +                "type": "integer"
      +              },
      +              "kind": {
      +                "description": "Classe da anomalia (vocabulário fechado do contrato)",
      +                "enum": [
      +                  "timeout",
      +                  "network",
      +                  "http_4xx",
      +                  "http_5xx",
      +                  "rate_limited",
      +                  "malformed_body"
      +                ],
      +                "type": "string"
      +              }
      +            },
      +            "required": [
      +              "kind",
      +              "count"
      +            ],
      +            "type": "object"
      +          },
      +          "type": "array"
      +        },
      +        "attempts": {
      +          "description": "Tentativas somadas, incluindo as repetidas (>= requests)",
      +          "maximum": 9007199254740991,
      +          "minimum": 1,
      +          "type": "integer"
      +        },
      +        "requests": {
      +          "description": "Idas distintas à origem que compõem esta resposta (fatias, páginas)",
      +          "maximum": 9007199254740991,
      +          "minimum": 1,
      +          "type": "integer"
      +        },
      +        "unstable": {
      +          "description": "true se houve repetição (attempts > requests) ou alguma anomalia",
      +          "type": "boolean"
      +        }
      +      },
      +      "required": [
      +        "requests",
      +        "attempts",
      +        "anomalies",
      +        "unstable"
      +      ],
      +      "type": "object"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "description": "Diagnóstico de origem desta chamada (contrato v1.1): idas à API do IBGE, tentativas somadas e anomalias contornadas; unstable=true quando houve anomalia. null quando nada foi medido (resposta servida só do cache)"
      +}
    • changedOutput schema / properties / provenance / required
      Previous value: -[
      -  "source",
      -  "source_url",
      -  "data_vintage",
      -  "retrieved_at",
      -  "citation",
      -  "license"
      -]New value: +[
      +  "source",
      +  "source_url",
      +  "data_vintage",
      +  "retrieved_at",
      +  "retrieval",
      +  "citation",
      +  "license"
      +]
  3. Addedv4.3.0

TDQS

A4.6/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare read-only/idempotent/openWorld, and the description adds substantial context beyond them: result cap (up to 10), ordering by relevance, empty-list semantics, returned shape, and that the catalog is publicly sourced and cached in memory.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the core action and return shape, then usage context. Information is well organized, though the Deep Research contract paragraph is somewhat verbose for the value it adds.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter search tool with an output schema, annotations, and rich sibling routing, the description covers everything an agent needs: purpose, result semantics, usage routing, and behavioral traits.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and the single query parameter is fully documented in the schema itself (including accents/case being ignored). The description's note that Portuguese or English is accepted adds marginal value over the schema, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (searches) and resource (IBGE catalog: SIDRA tables, municipalities, indicators) with scope details. It explicitly distinguishes itself from siblings by naming the ibge_* tools and explaining it is a catalog index, not a data query.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives explicit when-to-use (the Deep Research contract requiring exactly `search` and `fetch`), when-not-to-use (prefer ibge_* for values/series/rankings), and the workflow alternative (pass returned id to `fetch`). Nothing is left to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.