MCP Compras.gov.br

compras_catser_consultar

Read-onlyIdempotent

Look up a CATSER service item by its numeric code to view its name, description, classification, and units. Verify a code before running price research or procurement planning.

Instructions

Consulta detalhes de um item CATSER pelo código.

Devolve nome do serviço, descrição, seção/divisão/grupo/classe e unidades de medida. Use para confirmar o código antes de pesquisar preços ou contratações similares.

Cache de 24h.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "codigo_item": "<codigo_item>"
    },
    "name": "compras_catser_consultar"
  }
}

Input Schema

Name	Required	Description	Default
`codigo_item`	Yes	Código numérico do item no CATSER (Catálogo de Serviços). Inteiro de 4 a 6 dígitos. Exemplo: 27332.

Output Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.3.14Aug 18, 2026

TDQS

A4.3/5.0

Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds useful behavioral context beyond that: a 24-hour cache and the specific catalog data returned. No contradiction with annotations.

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: purpose first, then return fields, then use case, then cache behavior. Every sentence earns its place with no redundant 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 straightforward read-only lookup with one documented parameter, an output schema, and complete annotations, the description covers everything needed: what it returns, why to use it, and the caching caveat. There are no material gaps.

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 describes codigo_item as a 4-6 digit integer with an example, giving 100% schema description coverage. The description only refers to 'pelo código' and does not add new parameter meaning beyond what the schema already provides, so the baseline of 3 applies.

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 statement: 'Consulta detalhes de um item CATSER pelo código.' It further specifies the exact fields returned (nome do serviço, descrição, seção/divisão/grupo/classe, unidades de medida) and names the intended pre-price-search workflow, which helps distinguish it from sibling list/catalog tools.

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 explicitly states when to use it: 'Use para confirmar o código antes de pesquisar preços ou contratações similares.' This gives clear contextual guidance pointing toward related workflows, though it does not explicitly name sibling alternatives or state when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Deploy Server