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DETRAN MS Guia Flex: Multas

detran_ms_multas_flex_consultar

Read-onlyIdempotent

DETRAN MS Guia Flex: Multas, 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
renavamYes
auto_infracaoNo

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?

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds meaningful context about authentication (no platform credentials), payment (prepaid credit per query), data classification (not confidential), and LGPD compliance. This goes beyond annotations and helps the agent understand the operational and legal context.

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 core purpose ('Multas, consulta em fonte oficial') and is relatively concise. Each sentence adds some context, though the LGPD/data-controller sentence is more legal boilerplate than operational 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 no output schema and no parameter descriptions, the description should provide more functional detail about what the query returns and how the optional auto_infracao parameter works. The payment and legal context is useful, but the core invocation/response behavior is under-specified for an agent.

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 description does not explain any parameters (placa, renavam, auto_infracao) or their expected formats. Since the schema only provides names and types, the description leaves full burden unmet; the agent cannot know what values are valid or how they affect the query.

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 the tool queries DETRAN MS fines from an official source, and the name includes 'consultar' (query). It distinguishes itself from sibling tools (authenticate, marketplace, etc.) as a data consultation service, though it doesn't explicitly state it returns fine details for plate/renavam.

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 context: it queries official Brazilian sources, requires no platform credentials, and is paid per query. However, it does not explicitly state when to use this tool versus alternatives or mention any exclusions/prerequisites beyond the payment model.

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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