Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already mark the tool as read-only, idempotent, and non-destructive. The description adds meaningful context: data is from official Brazilian sources, is not confidential, is the same available to citizens, payment is via prepaid credit, no platform credentials are needed, and LGPD obligations belong to the client. This goes well beyond the annotation baseline.

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 front-loaded with the core purpose and each sentence provides distinct information: source, hosting/payment, data classification, and LGPD responsibility. It is slightly repetitive in mentioning 'fonte oficial' and 'fontes e órgãos oficiais', but otherwise every sentence earns its place.

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?

The description covers purpose, payment, legal context, and data sensitivity, which is strong for a simple read-only query tool. However, there is no output schema and the description never explains what data fields are returned or what the required parameters mean, leaving notable gaps for an agent deciding how to invoke the tool correctly.

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?

Schema coverage is 0% and the description provides no explanation for renavam, pkcs12_cert, or pkcs12_pass. The phrase 'sem credenciais da plataforma' could even confuse an agent since certificate credentials are still required. The description fails to 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.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool performs a vehicle query ('consulta') against DETRAN PR's official source, with scope 'Veículo (Completa)'. It also distinguishes itself from unrelated sibling platform tools (authenticate, connect, marketplace, etc.) and specifies the data comes from official Brazilian sources.

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 clear usage context: official source, no platform credentials required, prepaid pay-per-query, and non-confidential citizen-available data. It does not explicitly name alternative vehicle-query tools, but the sibling list contains no comparable data tools, so this is acceptable; however, no explicit when/when-not guidance is provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.