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DETRAN MG: Pontuação CNH

detran_mg_pontuacao_cnh_consultar

Read-onlyIdempotent

DETRAN MG: Pontuação CNH, 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
login_cpfNo
login_senhaNo
pkcs12_certNo
pkcs12_passNo
registro_cnhYes

Schema Changelog

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

  1. First observed

TDQS

B3.1/5.0
Behavior4/5

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

The description adds meaningful behavioral details beyond the annotations: it mentions the tool is hosted by the platform, requires prepaid credit, involves official sources, and notes LGPD compliance (client is data controller). It also clarifies the data is not confidential. These details enhance transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

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

The description is somewhat repetitive, repeating phrases like 'consulta em fonte oficial' and 'fontes e órgãos oficiais brasileiros' and mentioning LGPD twice. It could be more concise, though it is not excessively long.

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?

The description lacks essential information for practical use: it does not specify what the parameters represent, what the return value is, or how the query is performed (e.g., required authentication flow). The general context about official sources and payment is present, but the operational details are missing.

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 description provides no explanation of the five parameters (login_cpf, login_senha, pkcs12_cert, pkcs12_pass, registro_cnh). The schema has zero coverage for these properties, and the description does not compensate, leaving users to guess what each parameter means.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states that this tool queries CNH points (Pontuação CNH) from an official source, which is specific enough. However, it could be more explicit about the exact function (e.g., retrieving a driver's point balance) and does not mention the output format.

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

Usage Guidelines3/5

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

The description provides some usage context: it requires prepaid credit and does not need platform credentials. It also indicates the data is from official Brazilian sources. However, it does not explicitly state when to use this tool over alternatives, nor does it explain any prerequisites beyond payment.

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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