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senatran_infracoes_consultar

Read-onlyIdempotent

SENATRAN: Infrações, 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
cnpjNo
placaYes
data_fimNo
login_cpfNo
data_inicioNo
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

A3.9/5.0
Behavior4/5

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

Beyond the annotations, the description adds meaningful behavioral context: the tool is billed by prepaid credits, requires no platform credentials, handles non-confidential public data, and assigns LGPD compliance responsibilities to the caller. These details are useful and do not contradict the readOnly/idempotent annotations.

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 relatively brief, but it has some redundancy: 'consulta em fonte oficial' title and later 'consulta informação de fontes e órgãos oficiais' repeat the same idea. Still, it is well-structured with multiple useful statements in a compact story.

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

Completeness3/5

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

The annotation covers safety, and the description adds legal and billing context, but with 8 parameters and no output schema, an agent would need more instruction on how to invoke it (e.g., plate required, date ranges, login fields). It is not complete enough for fully confident calling in the absence of other clues.

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

Parameters2/5

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

Schema description coverage is 0%, and the description does not explain any parameter. It doesn't even mention the required 'placa' input, nor the optional login/date/certificate fields, leaving the agent to infer semantics from the field names alone.

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 identifies the action (consulta de infrações) and the resource (SENATRAN), stating it queries official Brazilian traffic infraction data. It is specific and distinguishes itself from generic sibling tools like authenticate and connect.

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 gives useful usage context: no platform credentials are needed, queries are pay-per-use via prepaid credits, and it uses official public data. It does not explicitly compare to alternatives, but no similar data query siblings exist, so the intended usage is reasonably clear.

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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