fipe_modelos
Lista os modelos de uma marca. Retorna [{ codigo_modelo, modelo }]. Use o codigo_marca obtido em fipe_marcas.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| codigo_marca | Yes | ||
| tipo_veiculo | Yes |
Lista os modelos de uma marca. Retorna [{ codigo_modelo, modelo }]. Use o codigo_marca obtido em fipe_marcas.
| Name | Required | Description | Default |
|---|---|---|---|
| codigo_marca | Yes | ||
| tipo_veiculo | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, and destructiveHint. The description adds the return format but no additional behavioral context beyond what annotations imply, earning a baseline score.
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 extremely concise with no superfluous words, front-loading the key action and output format in two sentences.
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?
While the tool is simple and annotations cover safety, the description omits parameter semantics and lacks an output schema. The return structure is mentioned but insufficient for a complete understanding.
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 schema has zero description coverage, and the description does not explain the purpose or possible values of the two parameters, especially tipo_veiculo, leaving the agent without critical information.
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 that the tool lists models for a brand, specifies the return structure, and references the prerequisite tool fipe_marcas, making the purpose unambiguous.
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?
It provides explicit guidance to use the codigo_marca from fipe_marcas, establishing a clear dependency. However, it does not explain when not to use this tool or suggest alternatives for similar functionality.
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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