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

Annotations already state readOnly/idempotent/non-destructive. The description adds valuable extra context: pay-per-query cost, no platform credentials needed, public non-classified data, and LGPD responsibilities. This goes beyond the structured annotations and helps the agent anticipate practical behavior.

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 purpose is front-loaded in the first sentence, followed by a compact paragraph of relevant context covering source, credentials, payment, and LGPD. It is somewhat dense but each clause contributes meaningful detail without redundancy.

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 is adequate at a broad level: it explains the general purpose, official source, cost model, and legal context. However, with no output schema it does not clarify the expected return value or highlighted DAE artifact, and input format is poorly detailed. These gaps make it minimum-viable rather than fully complete.

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 lists renavam and ano as bare string types with 0% schema description coverage, and the description does not explain their meaning, format, or restrictions. The domain context gives partial hints, but an agent still lacks essential details like RENAVAM format and what the 'ano' refers to.

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 opens with the specific scope: DETRAN MG licensing fee DAE issuance and consultation from an official source. This clearly identifies the resource and operation, and immediately distinguishes it from the generic sibling tools like authenticate, marketplace, and report_bug.

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 gives contextual clues about when to use the tool — for official Brazilian DETRAN MG licensing data without platform credentials and with prepaid credits. However, it does not explicitly state when to use this tool versus alternatives or provide exclusion criteria.

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