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MCP Compras.gov.br

compras_arp_adesoes_item

Read-onlyIdempotent

Lista adesões (caronas) já realizadas a uma ARP.

Endpoint Dados Abertos /modulo-arp/5_consultarAdesoesItem. Mostra quem aderiu e com que quantidade — indica nível de demanda e quanto ainda resta no limite legal de adesões.

Cache 15 min.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paginaNoPágina de resultados (1-based). Padrão 1.
numero_ataYesNúmero simples da ata (ex.: '00001/2024').
numero_itemYesNúmero do item dentro da ata.
tamanho_paginaNoQuantidade de registros por página. Padrão 50, máximo 500.
unidade_gerenciadoraYesCódigo da UASG gerenciadora da ata.

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

A4.3/5.0
Behavior4/5

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

Annotations already cover read-only, idempotent, non-destructive, and open-world traits. The description adds value beyond those by disclosing the underlying endpoint path, the 15-minute cache behavior, and the semantic content of the response in terms of demand and legal limits.

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 core purpose appears in the first sentence, followed by endpoint traceability, use-case interpretation, and cache behavior. Every sentence earns its place without redundancy.

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?

The tool has full schema documentation, a clear output schema, and annotations covering safety profile. The description adds the remaining context an agent needs: what the tool returns, why that matters, and a cache freshness caveat. 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 description does not need to repeat parameter meanings. It correctly leaves parameter details to the schema and only adds domain-level context about ARP adhesions, which is useful but not required for parameter understanding.

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 states a specific verb and resource: 'Lista adesões (caronas) já realizadas a uma ARP'. It clarifies the output ('quem aderiu e com que quantidade') and distinguishes its focus from sibling tools like saldo_item or unidades_item by emphasizing demand and remaining legal adhesion limits.

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 makes the use context clear: use when you need to see which entities adhered to an ARP and in what quantities, and to assess demand level or remaining adhesion capacity. It does not explicitly mention alternatives or exclusions, but the intended scenario is well implied.

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.