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

Annotations declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, which the description does not contradict. The description adds valuable context: the tool is hosted on the platform, requires no platform credentials, and users pay per query with pre-paid credit. It also clarifies data controller responsibility under LGPD, which is critical for legal compliance. These are genuine behavioral disclosures beyond the annotations.

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 a single paragraph, but it is information-dense and covers purpose, compliance, and operational details. It is not extremely long, but it is not front-loaded with the most essential usage information; the purpose is stated after the domain prefix. There is some redundancy ('consulta em fonte oficial' and 'informação de fontes e órgãos oficiais'), but overall it is reasonably concise.

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?

Given the tool's complexity: 4 parameters, no required parameters, no output schema, and no annotations for parameters, the description could be more complete. However, it covers the key operational and legal context (payment, hosting, LGPD compliance). It doesn't explain what the result looks like or which parameter combinations are valid, but since any of the four identifiers may be optional, providing usage examples would improve completeness. Still, for a read-only query tool with clear legal framing, it is fairly 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?

Schema description coverage is 0%, and there are 4 parameters (ie, cpf, cnpj, aceita_resultado_parcial). The description does not explain any parameter meanings or relationships Joshua, and the parameter names are cryptic (e.g., 'aceita_resultado_parcial' likely means 'accept partial result' but is not confirmed). Since coverage is 0%, the description should compensate but does not.

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 states the tool performs a SINTEGRA AC (Acre state) query from official sources. It clearly names the resource (official Brazilian sources) and the verb 'consulta' (query). It distinguishes itself from siblings by specifying the state and official source nature, though it doesn't explicitly contrast with similar query tools if any exist.

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 explains when to use the tool: to obtain information from official Brazilian sources that is publicly available to citizens, not confidential data. It implies this is for legitimate LGPD-compliant purposes and notes that payment is required via pre-paid credits, clarifying the operational context. It does not explicitly mention alternatives, but given the obscure sibling list, the context is clear enough.

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