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

The description adds significant transparency beyond the annotations by stating that the service requires prepaid credit for each consultation, that it accesses non-confidential official data, and that the client is responsible for data compliance under LGPD. This clarifies cost, data sensitivity, and legal responsibilities, which are not covered by the readOnly/idempotent hints.

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 reasonably concise but contains some redundancy, repeating phrases like 'consulta em fonte oficial' and 'informação de fontes e órgãos oficiais'. It is front-loaded with the main purpose but could be streamlined without losing meaning.

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 several important aspects (payment, data source, LGPD) but omits critical context such as what the tool actually returns, how the parameters are used, and any limitations or prerequisites. Given the lack of output schema and parameter descriptions, the description does not provide enough to fully understand the tool's operation.

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 lists three parameters (cda, cpf, renavam) with no descriptions. The tool description does not mention any of these parameters nor explain their purpose or format. With 0% schema coverage and no description compensation, the parameter semantics are completely unaddressed.

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 indicates that this tool is for consulting GARE (tax payment guide) emission/liquidation information from an official source (Brazilian state attorney general's office). It distinguishes itself from the sibling tools (authenticate, connect, etc.) by indicating it's a data consultation service. However, the exact nature of the consultation (e.g., checking status, retrieving details) could be more explicit, so it loses a point.

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 provides no guidance on when to use this tool versus alternatives. It does not mention any alternative tools or specific scenarios where this consultation is appropriate. The description only describes what the service does, not when it should be invoked.

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