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Glama
opedrosoares

MCP Compras.gov.br

by opedrosoares

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.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codigo_itemYesCódigo numérico do item no CATSER (Catálogo de Serviços). Inteiro de 4 a 6 dígitos. Exemplo: 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 observedv0.3.14

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 and idempotent behavior. The description adds useful behavioral context beyond that: the fields returned and a 24-hour cache. 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, return contents, use case, and cache are each stated in a single essential line. No filler or repetition.

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 one well-documented parameter, strong annotations, and an output schema present, the description provides everything an agent needs to decide when to call the tool and what to expect. Nothing material 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?

The schema covers the only parameter fully, including type, meaning, and an example. The description adds no significant parameter-level detail beyond referring to 'código', so the schema bears the explanatory weight.

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: 'Consulta detalhes de um item CATSER pelo código'. It enumerates the returned fields and clearly distinguishes this tool from price search and similar-contracting siblings by positioning it as a code-confirmation step.

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?

It gives clear usage context: 'Use para confirmar o código antes de pesquisar preços ou contratações similares.' This tells the agent when to invoke it, though it does not explicitly name alternative tools 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.

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