Senado BR — Brazilian Federal Senate Open Data

Sugerir tema de enquete

senado_ecidadania_sugerir_tema_enquete

Read-onlyIdempotent

Suggest themes for a monthly public poll by analyzing open e-Cidadania consultations and ideas, selecting high-engagement topics while filtering polarization, consensus, and minimum participation.

Instructions

Sugere temas para uma enquete pública mensal (seleção de pauta): analisa o conjunto completo de consultas (abertas) e as ideias do e-Cidadania e elege as de maior engajamento cidadão, filtrando por polarização/consenso e participação mínima. Retorna { criteriosAplicados, totalAnalisados, count, totalQualificados, sugestoes } (até 10), cada sugestão com tipo (consulta/ideia), id, titulo, motivo, metricas (participação/polarização) e url, ordenadas por participação. count é o número de sugestões retornadas (≤10) e totalQualificados é quantas passaram nos critérios. Critérios opcionais em criterios: evitarPolarizacao/evitarConsenso (padrão true), minimoParticipacao (padrão 500), apenasEmTramitacao (padrão true → considera só consultas abertas, com base no status real). Para investigar uma sugestão, use senado_ecidadania_obter_consulta ou senado_ecidadania_obter_ideia conforme o tipo.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`criterios`	No	Critérios de seleção do tema (polarização, consenso, participação mínima, tramitação)

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

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addedOutput schema / properties / provenance

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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"

Changed4 schema fields changedv3.3.3Jul 6, 2026
- removedInput schema / additionalProperties
```
Removed value: -false
```
- removedInput schema / properties / criterios / additionalProperties
```
Removed value: -false
```
- addedInput schema / properties / criterios / properties / minimoParticipacao / maximum
```
Added value: +9007199254740991
```
- 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 declare readOnly/idempotent/non-destructive/openWorld, so the safety profile is covered. The description adds real behavioral context beyond that: the filtering semantics (polarization/consensus avoidance, minimum participation), the defaults applied, and that apenasEmTramitacao considers only open consultas 'com base no status real'.

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 purpose and dense but information-bearing. It loses a point for detailing the return shape (`criteriosAplicados`, `count`, `totalQualificados`, etc.) that an output schema already supplies, making the paragraph longer than strictly needed.

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 zero-required-parameter analysis tool with annotations and an output schema present, the description covers purpose, criteria semantics, defaults, and follow-up routing. Nothing an agent needs to invoke it correctly 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% with nested-object descriptions, so baseline is 3. The description nonetheless adds meaning: it flags the criteria as optional, restates the defaults in context, and clarifies that apenasEmTramitacao keys off real status rather than a static flag, which the terse schema text does not convey.

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+resource+scope: 'Sugere temas para uma enquete pública mensal (seleção de pauta)', and explains it is an aggregation/election tool over the full set of consultas and ideias. It is clearly distinguishable from the listar_/obter_ siblings, which it explicitly names as follow-up tools.

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?

Clearly frames the use case (monthly public poll theme selection) and routes the agent to senado_ecidadania_obter_consulta / obter_ideia for investigating a suggestion depending on `tipo`. However it gives no explicit 'when not to use' versus siblings like senado_ecidadania_consultas_analise, so it stops short of full alternative guidance.

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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