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SEFAZ MG: Simulação de Parcelamento IPVA

sefaz_mg_simulacao_ipva_consultar

Read-onlyIdempotent

SEFAZ MG: Simulação de Parcelamento IPVA, 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
cpfNo
cnpjNo
renavamYes
parcelasNo

Schema Changelog

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

  1. First observed

TDQS

B3.3/5.0
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, so the safety profile is covered. The description adds valuable context: it is hosted by the platform, requires no platform credentials, is paid per query with prepaid credit, and clarifies data privacy (LGPD) responsibilities. This goes beyond annotations and provides useful behavioral 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 a single paragraph with several pieces of information, but it is somewhat dense and mixes purpose, hosting details, payment, and legal disclaimers. It is not front-loaded with the most critical usage info; the core purpose is stated first, but the additional details could be more concise. It earns a middle score for being informative but not optimally structured.

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?

Given the tool has 4 parameters, no output schema, and no parameter descriptions, the description should provide more operational details (e.g., what inputs are needed, what the simulation returns). It covers the data source and legal aspects but lacks specifics on how to use the parameters or what the response contains. This is a moderate gap for a tool with such sparse schema information.

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%, so the description must compensate for parameter meaning. However, the description does not explain any of the four parameters (cpf, cnpj, renavam, parcelas). It only mentions the tool's purpose, leaving the agent to infer that renavam is required and parcelas relates to installment simulation. This is insufficient given the lack of schema descriptions.

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 performs 'Simulação de Parcelamento IPVA' (IPVA installment simulation) for SEFAZ MG, using an official source. It distinguishes itself from generic tools by specifying the state (MG) and the specific tax (IPVA), though it doesn't explicitly contrast with sibling tools (which are mostly unrelated).

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 implies usage for consulting official Brazilian sources and mentions payment via prepaid credits, but it does not explicitly state when to use this tool versus alternatives or provide exclusions. The context of 'consulta em fonte oficial' and 'pague por consulta' gives some guidance, but it lacks clear when-to-use/when-not-to-use instructions.

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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