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DPRF Nada consta: Multas em Aberto

dprf_nada_consta_consultar

Read-onlyIdempotent

DPRF Nada consta: Multas em Aberto, 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
placaYes
paginaNo
renavamYes
estrangeiroNo

Schema Changelog

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

  1. First observed

TDQS

B3.2/5.0
Behavior4/5

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

Beyond the readOnlyHint annotation, the description discloses payment requirements, lack of platform credentials, and data controller responsibilities under LGPD. This adds meaningful transparency about operational and legal aspects, though it does not explain potential side effects (none expected given read-only nature).

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 moderately concise, with clear sentences covering purpose, payment, and data handling. It could be trimmed slightly, but it avoids unnecessary jargon and is well-structured for an API description.

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?

While the description explains the tool's purpose and some operational details, it omits any indication of return format or output structure, which is important since no output schema is provided. It also lacks parameter explanations, making the overall context incomplete for a user.

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?

The input schema includes four parameters (placa, pagina, renavam, estrangeiro) but the description provides no explanation for any of them. Since schema coverage is 0%, the description fails to compensate, leaving parameter meanings unclear.

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's purpose: consultar multas em aberto (query open fines) from official Brazilian sources. It uses a specific verb (consultar) and identifies the resource (multas), distinguishing it from generic process tools and sibling tools like authenticate or marketplace.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides some context (e.g., no platform credentials, paid per query) but does not indicate when to use this tool versus alternatives, nor does it mention any prerequisites or exclusions. It lacks explicit guidance on selection.

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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