Senado BR — Brazilian Federal Senate Open Data

Senadores (dados administrativos)

senado_senadores_admin

Read-onlyIdempotent

Retrieve administrative data for Brazilian senators—housing allowance, support offices, or retired senators—filtered by state or name.

Instructions

Dados administrativos dos senadores conforme o parâmetro tipo: auxilio-moradia → { tipo, count, senadores } (nome, uf, partido, auxilioMoradia, imovelFuncional; legislatura atual). escritorios-apoio → { tipo, count, escritorios } (senador, uf, partido, setor, endereco, telefone). aposentados → { tipo, count, aposentados } ex-senadores aposentados pelos planos de previdência do Congresso (IPC e PSSC), com nome, tipo do plano, dataInicial, remuneracao. Filtros opcionais uf e nome (busca parcial) aplicam-se a auxilio-moradia e escritorios-apoio; nome também filtra aposentados. Cada tipo retorna count 0 e lista vazia quando não há registros. Para gastos de cota parlamentar use senado_ceaps. Ex.: { tipo: 'auxilio-moradia', uf: 'SP' } ou { tipo: 'aposentados' }.

Input Schema

TableJSON Schema

Name	Required	Description
`uf`	No	Filtrar por estado (auxilio-moradia/escritorios-apoio)
`nome`	No	Filtrar por nome do senador (busca parcial)
`tipo`	Yes	Qual dado administrativo consultar

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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+          },
+          "retrieved_at": {
+            "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

A4.1/5.0

Behavior3/5

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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered. The description adds one genuine behavioral detail — every `tipo` returns `count` 0 and an empty list when no records exist — but the rest of the text restates the per-variant payload fields that the output schema already carries.

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?

The response shapes per `tipo` are front-loaded and the closing sentence carries the alternative-tool routing and examples. It is dense with backtick-delimited field lists, which is efficient but borders on listing schema content.

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

Completeness4/5

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

With an output schema present, the description needn't explain return values, yet it does so anyway; the required `tipo` enum, filter applicability, empty-result behavior and examples make it fully callable. Nothing critical for correct invocation is missing.

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. The description goes beyond the schema by clarifying that `uf` is ignored for `aposentados` while `nome` (partial match) applies to all three types, which is actionable filter-scoping information the schema does not state.

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?

The description names a specific resource (administrative data on senators) and enumerates exactly what each `tipo` value returns, so an agent can distinguish it from siblings at a glance. It explicitly routes quota-expense queries to `senado_ceaps`, separating this tool from an adjacent one.

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?

It states which optional filters (`uf`, `nome`) apply to which `tipo` values, gives two concrete invocation examples, and points to `senado_ceaps` for a related-but-different need. It does not, however, distinguish itself from other senator-data siblings such as `senado_listar_senadores` or `senado_obter_senador`.

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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