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MCP Compras.gov.br

compras_pncp_contratacoes_proposta

Read-onlyIdempotent

Lista contratações com prazo de proposta aberto no PNCP.

Endpoint /v1/contratacoes/proposta. Útil para mapear oportunidades abertas para fornecedores ou para identificar contratações em curso em órgãos similares. Filtro esfera opcional client-side.

Cache 15 min.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ufNoSigla da UF.
esferaNoFiltro opcional de esfera federativa (`federal`, `estadual`, `municipal` ou `distrital`). Aplicado client-side sobre a página retornada — útil para recortar a lista, mas note que `_total_registros` continua refletindo o total **sem** filtro de esfera.
paginaNoPágina (1-based).
data_finalYesData limite para propostas (YYYY-MM-DD).
tamanho_paginaNoRegistros por página.
codigo_modalidadeYesCódigo da modalidade (ver PNCPListarContratacoesInput).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.5/5.0
Behavior5/5

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

Beyond the readOnlyHint/idempotentHint annotations, the description adds meaningful behavioral details: the endpoint, the client-side nature of the `esfera` filter, the implication for `_total_registros`, and a 15-minute cache. These details help the agent understand data freshness and filtering semantics.

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 compact, front-loaded with the core function, and each sentence earns its place: purpose, endpoint, use cases, filter caveat, and cache. There is no redundant wording or filler.

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, the description covers all essential context: what it lists, why it is useful, the optional filter behavior, and data freshness. Required parameters are already documented in the schema, so nothing critical is missing.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already documents every parameter, including the `esfera` client-side caveat. The description adds minimal parameter-specific meaning beyond that, which matches the baseline of 3 for fully covered schemas.

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 contratações com prazo de proposta aberto no PNCP', and identifies the exact endpoint. The phrase 'prazo de proposta aberto' clearly differentiates this tool from sibling listing tools such as compras_pncp_contratacoes_publicacao or compras_pncp_contratacoes_atualizacao.

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 description gives explicit use cases: mapping open opportunities for suppliers and identifying ongoing contracting in similar agencies. It does not name alternatives or state when not to use this tool, so it stops short of the top score, but the context is clear and actionable.

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

A3.6/5.0
Disambiguation3/5

Most tools target distinct resources, and descriptions are extremely detailed, often explicitly warning about look-alikes. However, there is real overlap between composite and single-purpose tools (e.g., compras_checar_sancoes_fornecedor vs compras_perfil_fornecedor_completo vs compras_sancao_*), and similar-looking pairs like compras_contratos_consultar vs compras_contrato_comprasnet_consultar or compras_arp_listar vs compras_pncp_atas_listar require careful reading. With 100 tools, an agent will still face meaningful selection ambiguity.

Naming Consistency3/5

The dominant pattern is snake_case with a compras_ prefix, but the order and style vary: some are domain-first (compras_catmat_buscar), some are verb-first (compras_buscar_contratacoes_similares), and some are bare entity names with no verb (compras_sancao_ceis, compras_pncp_modalidades). The many listar/consultar/buscar variants are readable, but the convention is not predictable enough for a 100-tool surface.

Tool Count1/5

100 tools is an extreme count for any MCP server, regardless of domain breadth. Even if each tool has a legitimate upstream endpoint, this volume will heavily tax context windows and make reliable tool selection harder. Many tools could be consolidated into parameterized families (e.g., contratos, sancoes, pncp resources).

Completeness4/5

The server covers the Brazilian procurement domain remarkably well: catalogs, ARPs, 14.133 contracts, legacy regime, price research, suppliers, sanctions, PGC/PCA, PNCP, and Comprasnet contract subresources. Minor gaps remain, such as listing a supplier's full contract history without specifying an órgão, and some upstream limitations are only papered over with client-side workarounds.