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Senado BR — Brazilian Federal Senate Open Data

Listar comissões

senado_listar_comissoes
Read-onlyIdempotent

Find active Brazilian Senate committees by type (permanent, temporary, CPI, mixed) and status. Get committee codes, acronyms, and names to use in related Senate data queries.

Instructions

Lista comissões (colegiados) ativas do Senado, com filtros por tipo (permanente, temporaria, cpi, mista) e ativa. Retorna { count, comissoes }, cada item com codigo, sigla, nome, tipo, casa e ativa. O endpoint só traz comissões ativas, logo ativa=false resulta em lista vazia. Use para descobrir a sigla exigida por senado_obter_comissao e senado_reunioes_comissao.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tipoNoTipo: permanente, temporaria, cpi, mista
ativaNoApenas comissões ativas

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changedv3.9.0
    • 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"
  2. Changed2 schema fields changedv3.3.3
    • removedInput schema / additionalProperties
      Removed value: -false
    • changedOutput schema / additionalProperties
      Previous value: -trueNew value: +{}
  3. First observedv3.3.1

TDQS

A4.6/5.0
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). The description adds genuinely useful non-obvious behavior: the endpoint only returns active commissions, so ativa=false yields an empty list. That quirk is not derivable from annotations and prevents a wasted call.

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?

Three tight sentences, front-loaded with purpose then caveat then routing. No filler; each sentence carries distinct information.

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?

Complete for a two-param list tool: purpose, filter semantics, the empty-list edge case, and sibling routing are all present. The return-shape sentence partially duplicates the existing output schema, a minor redundancy.

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 baseline is 3, but the description earns extra credit by explaining the enum values and the counterintuitive ativa=false behavior. It adds meaning beyond the terse schema descriptions.

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 (Lista) and resource (comissões/colegiados ativas do Senado) with explicit scope, and distinguishes itself from the sibling senado_obter_comissao. An agent can tell exactly what this returns without opening the schema.

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 routes the agent: "Use para descobrir a `sigla` exigida por `senado_obter_comissao` e `senado_reunioes_comissao`." It names the downstream alternatives and the condition that selects this tool, leaving nothing 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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