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MCP Compras.gov.br

compras_detalhar_preco_servico

Read-onlyIdempotent

Lista as compras individuais de um serviço CATSER — sem valor de preço.

Endpoint: /modulo-pesquisa-preco/4_consultarServicoDetalhe.

⚠️ Esta tool não devolve preço (verificado 2026-08-05): o DTO upstream é idêntico ao da rota 2 — idCompra, idItemCompra, numeroItemCompra, codigoItemCatalogo, objetoCompra, descricaoDetalhadaItem, dataAtualizacaoFato. Nenhum campo de valor.

Para preço unitário de serviço use compras_pesquisar_preco_servico, que devolve precoUnitario e fornecedor por compra.

Cache 10 min.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paginaNoPágina (1-based).
data_fimNoData final (YYYY-MM-DD).
data_inicioNoData inicial (YYYY-MM-DD).
tamanho_paginaNoRegistros por página.
codigo_item_catalogoYesCódigo CATSER do serviço. Inteiro 4-6 dígitos. Ex.: 27332.

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

A4.6/5.0
Behavior5/5

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

Beyond the generic annotations (readOnly, openWorld, idempotent, non-destructive), the description discloses specific behaviors: it explicitly states the tool does not return price, lists the exact fields returned (idCompra, idItemCompra, etc.), notes the verification date, and mentions the 10-minute cache. This goes well beyond the annotations and helps set expectations about data freshness and content.

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 description is well-organized and mostly concise, but it contains some redundancy: the warning about not returning price is stated multiple times ('sem valor de preço', '⚠️ Esta tool não devolve preço', 'Nenhum campo de valor'). While this emphasis is understandable, it slightly detracts from conciseness. Structure is otherwise clear with distinct sections for endpoint, warning, alternative, and cache.

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?

Given the presence of a full input schema, output schema (indicated by context signals), and annotations covering safety and idempotency, the description provides sufficient context. It explains the purpose, the exact endpoint, what data is returned (and what is not), and points to the correct alternative for price queries. Nothing essential is missing for an agent to use this tool correctly.

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?

The input schema already provides 100% coverage with detailed descriptions for all parameters (e.g., 'Código CATSER do serviço. Inteiro 4-6 dígitos. Ex.: 27332.'). The tool description adds no additional parameter semantics beyond what's in the schema, so the baseline score of 3 is appropriate.

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 clearly states the tool's purpose: 'Lista as compras individuais de um serviço CATSER' with the specific verb 'Lista' and the resource 'compras individuais de um serviço CATSER'. It also explicitly differentiates from the sibling tool by noting it does not return price and pointing to 'compras_pesquisar_preco_servico' for price data.

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?

The description provides explicit guidance on when to use this tool versus the alternative: 'Para preço unitário de serviço use `compras_pesquisar_preco_servico`'. This clearly tells the agent when to choose the sibling tool, implying this tool is for non-price purchase details. It also mentions cache duration and verification date, adding practical usage context.

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.