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População do Brasil em tempo real

ibge_populacao
Read-onlyIdempotent

Retrieve Brazil's real-time population projection, including current population, birth/death rates, and daily population increment.

Instructions

Returns real-time Brazilian population projection.

Features:

  • Current population estimate

  • Birth rate (average time between births)

  • Death rate (average time between deaths)

  • Daily population increment

Source: IBGE - Brazilian Population Projection

This tool ONLY returns Brazil's real-time national projection.

Use a different tool when:

  • Population of a specific municipality/state → ibge_cidades (panorama)

  • Census or historical population → ibge_censo

  • Comparing/ranking multiple localities → ibge_comparar

  • Population time series → ibge_indicadores

  • An arbitrary SIDRA table → ibge_sidra

Behavior: read-only and idempotent — a live GET against the public IBGE population-projection API. Returns Markdown plus a typed structuredContent payload.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
localidadeNoLocalidade para projeção populacional (atualmente apenas BR disponível)BR

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
horarioYesData/hora da consulta
populacaoYesPopulação projetada (habitantes)
localidadeYesLocalidade da projeção
provenanceYesBloco de proveniência (contrato v1.0): fonte, URL, período, extração e licença
attributionYesURLs canônicas das fontes desta resposta (lista de atribuição)
periodoMedioYesIndicadores do período médio
Behavior5/5

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

Annotations already declare readOnlyHint/idempotentHint/destructiveHint false; the description adds live GET API behavior and return format (Markdown plus typed structuredContent), and reinforces idempotency. No contradiction.

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?

Description is compact and organized with bullets for outputs and exclusions. Every section adds value; no redundant or promotional language.

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?

With one optional enum parameter, rich annotations, output schema, and the description covering source, scope, alternatives, and return behavior, nothing essential is missing.

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 localidade parameter is fully documented with an enum and default. Description doesn't add new parameter-level semantics beyond contextualizing national-only scope, 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?

Description opens with a specific verb+resource: 'Returns real-time Brazilian population projection' and enumerates exact outputs (population estimate, birth/death rates, daily increment). It explicitly differentiates from siblings by stating it ONLY returns Brazil's national projection and naming alternatives.

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?

Provides explicit 'Use a different tool when' guidance with five named sibling tools and their specific use cases. This satisfies both when-to-use and when-not-to-use.

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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