Open Economics

Inspect an IBGE aggregate's measures and dimensions

get_ibge_schema

Read-onlyIdempotent

Fetch official metadata for an IBGE aggregate selected by search_official_data. Always use this before get_ibge_data unless the official variable, locality, and classification IDs are already known. It prevents guessing a measure or dimensional slice.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`dataset_id`	Yes	Exact IBGE aggregate ID returned by search_official_data.

Output Schema

TableJSON Schema

Name	Required	Description
`data`	Yes	Source-preserving data or schema payload for the selected official dataset.
`meta`	Yes	Response metadata and source provenance.
`links`	No	Related API links.

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedSep 11, 2026

changedOutput schema / (root)

Previous value: -nullNew value: +{
+  "$schema": "https://json-schema.org/draft/2020-12/schema",
+  "additionalProperties": {},
+  "description": "REST-aligned Open Economics response with data, metadata, links, and source provenance.",
+  "properties": {
+    "data": {
+      "description": "Source-preserving data or schema payload for the selected official dataset."
+    },
+    "links": {
+      "additionalProperties": {},
+      "description": "Related API links.",
+      "properties": {
+        "observations": {
+          "description": "Canonical observations endpoint for this dataset.",
+          "type": "string"
+        },
+        "self": {
+          "description": "Canonical URL for this response.",
+          "type": "string"
+        }
+      },
+      "type": "object"
+    },
+    "meta": {
+      "additionalProperties": {},
+      "description": "Response metadata and source provenance.",
+      "properties": {
+        "dataset": {
+          "description": "Open Economics dataset identity when supplied."
+        },
+        "provenance": {
+          "description": "Upstream source URLs, versions, timestamps, and methodology details."
+        }
+      },
+      "type": "object"
+    }
+  },
+  "required": [
+    "data",
+    "meta"
+  ],
+  "type": "object"
+}

First observedSep 9, 2026

TDQS

A4.5/5.0

Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint, so the safety profile is covered. The description adds useful behavioral context by explaining the tool's preventive role: it stops agents from guessing a measure or dimensional slice before requesting data.

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

Conciseness5/5

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

Two tightly written sentences. The first states what the tool returns; the second gives the ordering rule and the exception. No filler or repetition.

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?

Given one required parameter, full schema coverage, rich annotations, and an existing output schema, the description supplies the needed call workflow and prerequisite. An agent has enough context to invoke it correctly and knows when it must be used.

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?

The single parameter has 100% schema description coverage, including the exact pattern and source from search_official_data. The description reinforces that the dataset_id comes from search_official_data but adds no further syntax or format detail beyond the schema, so baseline 3 is appropriate.

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 and resource: 'Fetch official metadata for an IBGE aggregate.' It clearly distinguishes itself from sibling data tools like get_ibge_data and from search_official_data by specifying that it returns metadata for an aggregate selected by the search tool.

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?

Explicitly gives when-to-use guidance: 'Always use this before get_ibge_data unless the official variable, locality, and classification IDs are already known.' It names the alternative tool and the condition under which it can be skipped, leaving little to inference.

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

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