Senado BR — Brazilian Federal Senate Open Data

Tabelas de gestão de pessoas

senado_pessoal_tabelas

Read-onlyIdempotent

Query Brazilian Federal Senate personnel data by table type, including workforce aggregates, commissioned roles, retirement forecasts, senators, interns, pensioners, locations, and job titles.

Instructions

Tabelas de pessoal do Senado conforme o parâmetro tabela. Quantitativos agregados: pessoal (força de trabalho por classe/escolaridade), cargos-funcoes (cargos em comissão e funções de confiança), previsao-aposentadoria, senadores. Listas nominais: estagiarios (ativos), pensionistas, lotacoes (setores), cargos (nomes de cargos). Retorna { tabela, count, total, aviso?, registros[] } — registros agregados (nos quantitativos) ou nominais (nas listas), conforme a tabela, limitados por limite (padrão 100, máx 2000); count 0 e lista vazia quando a tabela não tem registros. O filtro textual opcional casa contra qualquer campo do registro. Para o cadastro nominal de servidores efetivos/comissionados use senado_servidores.

Input Schema

TableJSON Schema

Name	Required	Description
`filtro`	No	Filtro textual (nome, curso, setor...)
`limite`	No	Máximo de registros (padrão: 100)
`tabela`	Yes	Qual tabela de pessoal consultar (quantitativo agregado ou lista nominal)

Output Schema

TableJSON Schema

Name	Required	Description	Default
`provenance`	Yes
`attribution`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedv3.18.4Oct 14, 2026

changedOutput schema / properties / provenance / anyOf

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Changed3 schema fields changedv3.15.2Oct 7, 2026

addedOutput schema / properties / attribution

Added value: +{
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+}

addedOutput schema / properties / provenance

Added value: +{
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+            "type": "string"
+          },
+          "source": {
+            "type": "string"
+          },
+          "source_url": {
+            "type": "string"
+          }
+        },
+        "required": [
+          "source",
+          "source_url",
+          "data_vintage",
+          "retrieved_at",
+          "retrieval",
+          "citation",
+          "license"
+        ],
+        "type": "object"
+      },
+      "minItems": 1,
+      "type": "array"
+    }
+  ]
+}

addedOutput schema / required

Added value: +[
+  "provenance",
+  "attribution"
+]

Changed3 schema fields changedv3.9.0Sep 24, 2026

changedInput schema / $schema

Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"

addedInput schema / additionalProperties
```
Added value: +false
```

changedOutput schema / $schema

Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"

Changed2 schema fields changedv3.3.3Jul 6, 2026
- removedInput schema / additionalProperties
```
Removed value: -false
```
- changedOutput schema / additionalProperties
```
Previous value: -trueNew value: +{}
```
First observedv3.3.1Jun 25, 2026

TDQS

A4.4/5.0

Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, openWorld), yet the description still adds real behavioral context: default/max page size (100/2000), the empty-result contract (count 0 and empty list when the table has no records), and that filtro matches any field of a record. The return-shape string overlaps the output schema, so it earns slightly less than a full 5.

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?

Dense but tightly front-loaded: the resource and the enum grouping come first, then return shape, pagination, filter semantics, and the sibling redirect. Every clause carries information; a bulleted structure would improve scanability but nothing is wasted.

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 an 8-mode table tool it covers every decision an agent must make: which tabela maps to which content, how filtro and limite behave, what an empty result looks like, and where to go for nominal servant data. With an output schema present, the return description is supplementary rather than load-bearing.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3, but the description meaningfully expands beyond the schema: it explains what each tabela enum value contains (aggregated workforce by class/schooling, commissioned positions, retirement projection, interns, pensioners, sectors, position names), clarifies filtro's cross-field matching, and restates limite's default/max.

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 resource (Senate personnel tables) and enumerates exactly which tables exist, splitting them into quantitativos (pessoal, cargos-funcoes, previsao-aposentadoria, senadores) and listas nominais (estagiarios, pensionistas, lotacoes, cargos). It also names the sibling senado_servidores as the tool for nominal servant records, so an agent can distinguish it without opening either schema.

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

Usage Guidelines4/5

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

The enum grouping tells the agent which table to pick for which content, and it explicitly routes nominal servant registration to senado_servidores. It lacks explicit 'when not to use' beyond that single alternative, but the context is clear enough to select correctly.

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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