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DETRAN MG: Multas (Extrato)

detran_mg_multas_extrato_consultar

Read-onlyIdempotent

DETRAN MG: Multas (Extrato), 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
placaNo
chassiYes
renavamYes
login_cpfNo
login_senhaNo
pkcs12_certNo
pkcs12_passNo

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=true, idempotentHint=true, and destructiveHint=false. The description adds value beyond those by disclosing that each consult consumes prepaid credits, that no platform credentials are required, that the data is official and non-confidential, and that the client is the LGPD controller. It does not describe response or failure behavior, but the annotations cover the safety profile.

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 front-loaded with the purpose and uses four concise sentences that each add relevant operational or legal context. It is not bloated, though the ideas 'fonte oficial' and 'fontes e órgãos oficiais brasileiros' are slightly redundant.

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 no output schema and 7 undocumented parameters, the description should explain required inputs and return behavior; it covers payment, credentials, and legal context but leaves renavam/chassi semantics and result shape unspecified. This is insufficient for confident agent invocation.

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% for 7 parameters, and the description provides no parameter-level guidance. It does not explain renavam, chassi, placa, login_cpf, login_senha, pkcs12_cert, or pkcs12_pass, nor which combinations are valid. The tool name suggests the domain, but the description does not compensate for the undocumented schema.

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 'DETRAN MG: Multas (Extrato), consulta em fonte oficial', clearly naming the resource (DETRAN MG fines extract) and the action (consulta). It is specific enough to distinguish this tool from generic sibling tools like authenticate and marketplace.

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 useful context: official source, hosted by the platform, no platform credentials, paid per query with prepaid credits, and LGPD data-controller obligations. It does not explicitly state when not to use it or name alternatives, but the context clearly implies when this tool is appropriate.

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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