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MCP Compras.gov.br

compras_fornecedor_impedimentos_por_itens

Read-onlyIdempotent

Consulta impedimentos no Comprasnet por lista de itens (CATMAT/CATSER).

Endpoint POST /api/comprasnet/compras/impedimentos. Retorna fornecedores impedidos de participar de contratações dos itens informados (sanções aplicadas no SICAF). Essencial antes de homologar pregões eletrônicos.

Cache 1h.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codigos_catmatNoLista de códigos CATMAT (materiais) a verificar. Use junto com codigos_catser ou separadamente.
codigos_catserNoLista de códigos CATSER (serviços).

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

A4.1/5.0
Behavior4/5

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

Annotations already mark it read-only, idempotent, non-destructive, and open-world; the description supplements this with useful behavioral details: it returns sanctioned suppliers from SICAF, uses POST, and has a 1-hour cache. This goes beyond the annotation hints without contradicting them.

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 and front-loaded: the purpose statement comes first, followed by endpoint, output, use case, and cache behavior. Every sentence contributes distinct value with no 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?

With a rich output schema, 100% parameter coverage, and annotations covering safety semantics, the description provides the remaining practical context an agent needs: when to use it, what it returns, and how fresh the data is. Nothing essential 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 fully documents codigos_catmat and codigos_catser. The description only mentions CATMAT/CATSER generically and does not add parameter-level semantics beyond what the schema provides; baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies a specific verb-resource pair ('Consulta impedimentos no Comprasnet') and scopes it by item lists (CATMAT/CATSER), including the endpoint and return semantics. It does not explicitly contrast itself with sibling tools such as compras_checar_sancoes_fornecedor, so it falls just short of full differentiation.

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?

'Essencial antes de homologar pregões eletrônicos' provides a clear, concrete use-case. There are no exclusions or named alternatives, but the context is sufficient to guide when this check should be run.

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.