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MCP Compras.gov.br

compras_checar_sancoes_fornecedor

Read-onlyIdempotent

Consolida sanções de um fornecedor (CEIS + CNEP + CEPIM + leniência + impedimentos).

Composição: chama em paralelo as listas do Portal da Transparência e os impedimentos do Comprasnet. Retorna um veredito booleano + lista consolidada de sanções ativas.

Levanta ComprasAuthError se TRANSPARENCIA_API_KEY não estiver configurada. Sempre use antes de homologar pregões/contratos. Cache 10 min.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cnpjYesCNPJ do fornecedor (14 dígitos, com ou sem pontuação).

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 carry readOnly/idempotent/destructive hints, and the description adds genuine context on top: it aggregates via parallel calls to Portal da Transparência and Comprasnet, raises ComprasAuthError when TRANSPARENCIA_API_KEY is unset, and has a 10-minute cache. It does not speculate on partial-failure behavior when one of the parallel sources fails, which would have made it a 5.

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?

Front-loaded with the core purpose followed by composition, error behavior, usage directive, and cache — each sentence earns its place. There is mild redundancy between 'CEIS + CNEP + CEPIM + leniência + impedimentos' in the first line and the parallel-composition sentence, but the text overall is appropriately compact.

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?

For a 1-parameter tool with 100% schema coverage, a rich output schema, and informative annotations, the description covers the main operational context: sources, return shape (verdict + consolidated list), auth prerequisite, cache, and when to call it. A minor gap is the unspecified behavior when one of the parallel upstream systems is unavailable.

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 coverage is 100% — the schema already describes cnpj as 'CNPJ do fornecedor (14 dígitos, com ou sem pontuação)'. The description adds no further parameter-level detail, so the baseline of 3 applies since the schema carries the full semantic load.

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 + resource ('Consolida sanções de um fornecedor') and enumerates the exact sources aggregated (CEIS, CNEP, CEPIM, leniência, impedimentos). This clearly distinguishes it from the sibling sancao_* tools (compras_sancao_ceis, compras_sancao_cnep, etc.), which fetch single lists, whereas this one consolidates them.

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?

Provides an explicit usage directive: 'Sempre use antes de homologar pregões/contratos', which tells the agent when to invoke it. However, it stops short of naming the per-source alternatives as lower-cost options for when only one list is needed, so some exclusion guidance is missing.

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.