veiculo_dados
Consulta os dados de um veículo pela placa + RENAVAM (marca/modelo, ano, combustível, situação, restrições). Funciona para qualquer veículo; não exige login.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| placa | Yes | ||
| renavam | Yes |
Consulta os dados de um veículo pela placa + RENAVAM (marca/modelo, ano, combustível, situação, restrições). Funciona para qualquer veículo; não exige login.
| Name | Required | Description | Default |
|---|---|---|---|
| placa | Yes | ||
| renavam | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering safety. The description adds behavioral context: it works for any vehicle and requires no login, which is beyond annotations. It also lists the data categories returned, giving the agent a sense of the output. No contradictions.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence of about 20 words, front-loaded with the action and resource. It contains no filler or redundant information. Every clause adds value: identifying the method, listing the data fields, and noting accessibility.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (2 params, no output schema, strong safety annotations), the description is quite complete. It states purpose, inputs, output categories, and public access. It lacks explicit details on output structure or error handling, but those are not critical for a read-only lookup. Overall, it sufficiently covers the necessary context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has two string parameters (placa, renavam) with no descriptions, and schema coverage is 0%. The description mentions 'pela placa + RENAVAM', but this merely restates the parameter names without adding format, examples, or constraints. It does not meaningfully enhance understanding beyond what the schema names already imply.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action (consulta), the resource (dados de um veículo), and the specific identifiers (placa + RENAVAM). It lists the fields returned (marca/modelo, ano, combustível, situação, restrições) and distinguishes it from sibling tools, which are unrelated (authenticate, marketplace, etc.). This is a specific, unambiguous purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description indicates applicability ('Funciona para qualquer veículo; não exige login'), implying it is a public, universal lookup. It does not explicitly mention alternatives because none exist among the siblings, but the context is clear. There are no exclusions or when-not-to-use scenarios, so a 4 is appropriate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.