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

Annotations already cover readOnlyHint, idempotentHint, and destructiveHint. The description adds context about no sensitive data and LGPD compliance, but omits behavioral details like what happens on invalid credentials or whether the prepaid credit can be exhausted.

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 packs essential context into a few dense sentences, but the LGPD legal caveat adds length and may be less critical for an AI agent being asked to invoke the tool. It remains reasonably compact despite this.

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?

For a read-only query tool with provided annotations and schema, the description covers source authenticity and legal aspects, but falls short on specifics like pagination, response format, or rate limits. It handles core—but not complete—context for this tool.

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%, with four required parameters—'placa', 'renavam', 'pkcs12_cert', and 'pkcs12_pass'—and the description gives no parameter descriptions beyond their names. Given the low coverage, the description fails to explain the expected data formats for the certificate path and password, or what 'placa' (license plate) and 'renavam' represent.

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 gives a specific verb+resource combination ('Multas, consulta em fonte oficial') clarifying this is a ticket/fine consultation tool accessing official Brazilian data. It adds scope by noting official government source and LGPD data controller context, though it doesn't explicitly reference sibling tools for distinction.

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 conveys usage context with payment-per-consultation prepaid credit and official source access, which implies appropriate quick-consultation scenarios. However, it never explicitly states when to use this over alternatives or mentions the sibling tools in its connected ecosystem.

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