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Prefeitura PA Belém: Multas

pref_pa_belem_multas_consultar

Read-onlyIdempotent

Prefeitura PA Belém: 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

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, idempotentHint=true, and destructiveHint=false. The description adds meaningful context: no platform credentials required, prepaid per-query pricing, and that data is non-confidential (not 'dado sigiloso'). This goes beyond annotations without contradicting them.

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 a few sentences, front-loaded with the tool's purpose, then covers hosting, payment, data source, and LGPD. It's efficient without excessive length, though the LGPD sentence is somewhat legalistic but still relevant.

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?

Given the low complexity (2 simple params, no output schema), the description still lacks essential details: what data is returned, any input format constraints, and implications of incorrect parameters. The business/payment context is covered, but technical completeness is 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?

Schema coverage is 0% and the description provides no explanation of the required parameters (placa, renavam). The agent is left without guidance on what these fields represent or their format. The tool name hints at fines, but the description doesn't compensate for the complete lack of parameter documentation.

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 traffic fines (multas) from official Belém PA sources. It uses 'consulta em fonte oficial' (query in official source), which is specific and distinct from sibling tools like authenticate or marketplace. However, it doesn't specify what details are returned (e.g., amount, status), so it's not a full 5.

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 mentions that no platform credentials are needed and that queries are prepaid, which gives context. However, it doesn't explicitly state when to use this tool versus alternatives or when not to use it. The LGPD note implies legitimate purpose but doesn't clarify exclusions.

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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