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Polícia Rodoviária Federal: Débitos

prf_debitos_consultar

Read-onlyIdempotent

Polícia Rodoviária Federal: Débitos, consulta em fonte oficial. Hospedado pela plataforma, sem credenciais da plataforma, pague por consulta com crédito pré-pago. Consulta informação de fontes e órgãos oficiais brasileiros (a mesma disponível ao cidadão), não é dado sigiloso. O cliente é o controlador dos dados e responde pela finalidade legítima (LGPD).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
aitNo
placaYes
renavamYes
ignora_boletoNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is covered. The description adds useful behavioral context: payment via prepaid credit, official source, non-confidential nature, and LGPD responsibilities. It goes beyond annotations 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.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single compact paragraph, front-loaded with the core purpose ('PRF: Débitos, consulta em fonte oficial'). It covers purpose, hosting, payment, data source, and legal notes without excessive verbosity. However, it could be slightly more structured with explicit parameter guidance.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 4 parameters, no parameter descriptions, and no output schema, the description is incomplete. It does not explain expected inputs (e.g., plate format, renavam numeric), what the query returns (e.g., list of fines, amounts, payment status), or any error conditions. The legal and payment context is useful but does not compensate for missing functional details.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the tool description does not explain any of the parameters (ait, placa, renavam, ignora_boleto). Even required fields like placa and renavam are only implied by the domain (PRF debts), not explicitly described. Optional parameters like 'ait' and 'ignora_boleto' are completely unexplained, leaving the agent to guess their meaning.

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 clearly states the tool queries debts ('Débitos') from the Polícia Rodoviária Federal (PRF) official source. This is specific about the resource (vehicle debts) and the action (query). It distinguishes from siblings like authenticate or connect, which serve different purposes.

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 provides clear context: it is a paid per-query service hosted by the platform, requiring no platform credentials. It implies usage when checking PRF debts, though it does not explicitly mention alternatives or when not to use it. The mention of LGPD and data controller status adds situational context.

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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