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Dados Abertos Senado BR MCP

Reuniões de comissão

senado_reunioes_comissao
Read-onlyIdempotent

Lista reuniões de uma comissão (pela sigla) num intervalo dataInicio/dataFim (YYYYMMDD); sem datas, usa os últimos 14 dias. Atenção: o upstream devolve a agenda de TODAS as comissões do período (o filtro por sigla é local), então janelas amplas (mensais/anuais) podem estourar o limite de tamanho da resposta (erro de payload): prefira janelas de até 2 semanas e divida períodos maiores em chamadas sucessivas. Retorna { sigla, periodo, count, reunioes }, cada reunião com codigo, descricao, data, hora, local, tipo e situacao. Intervalos entre anos são divididos por ano internamente. Descubra a sigla via senado_listar_comissoes; use o codigo retornado em senado_reuniao_comissao para os detalhes da pauta.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
siglaYesSigla da comissão
dataFimNoData fim (YYYYMMDD)
dataInicioNoData início (YYYYMMDD)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A5/5.0
Behavior5/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds high-value behavior beyond those annotations: the upstream returns ALL commissions' agendas and filtering is local, large windows can trigger payload errors, intervals across years are split internally, and the exact response envelope is stated. There is no contradiction with the annotations.

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?

The description is dense but every sentence earns its place: core purpose, a critical upstream limitation with a workaround, response shape, and cross-references to related tools. The most actionable information is front-loaded, and the paragraph structure makes the warning visible before the user commits to a broad query.

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 read-only listing tool with an output schema and read-only annotations, this description is complete. It covers input defaults, date format, the error-prone condition, output structure, and the surrounding tool workflow. An agent has everything needed to invoke it correctly and to route follow-up calls to senado_reuniao_comissao.

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

Parameters5/5

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

The schema only documents names, types, and the YYYYMMDD format, while the description adds real semantics: both date params are optional together and default to the last 14 days, the sigla filter is applied locally rather than upstream, and the recommended window size for dataInicio/dataFim is explicitly provided. This goes well beyond the baseline for a 100% schema-covered parameter set.

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 opens with a specific verb and resource: 'Lista reuniões de uma comissão (pela sigla)' in a date interval. It clearly differentiates itself from senado_reuniao_comissao by stating that the latter is for 'detalhes da pauta', and from senado_listar_comissoes by prescribing it for discovering the sigla. No ambiguity remains about what this tool does.

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?

It gives explicit operational guidance: default behavior without dates ('sem datas, usa os últimos 14 dias'), a strong recommendation to keep windows up to 2 weeks, and how to handle larger periods by splitting into successive calls. It also names the exact sibling tools to use before and after this one, making the call workflow explicit.

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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TDQS

A4.1/5.0
Disambiguation2/5

Several tools perform overlapping functions (e.g., senado_buscar_materias vs senado_search_processos, senado_contratos vs senado_contratacoes_lista, and three e-cidadania consultation tools). Although descriptions are detailed, an agent can easily select the wrong one without deep inspection.

Naming Consistency3/5

All tools share the 'senado_' prefix, but the pattern is inconsistent: some use Portuguese verbs (buscar, listar, obter), others English 'search', and some are bare nouns (senado_ceaps, senado_mesa, senado_vetos). This mixed convention reduces predictability.

Tool Count2/5

67 tools is far above the 25 threshold, indicating an overgrown surface. While each tool may serve a niche endpoint, the sheer number makes it difficult for an agent to choose efficiently, and many tools could be consolidated.

Completeness4/5

The toolset covers nearly every aspect of Senate open data (legislative, senatorial, committee, administrative, financial, e-cidadania) with list/detail/searches. Minor gaps exist, such as no direct consolidated contract search, but most workflows can be achieved.