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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false; the description adds important context beyond that: no platform credentials needed, prepaid per-query cost, data is non-confidential, and the client is the LGPD data controller. This is strong, though it does not mention rate limits, pagination, or response shape.

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 compact and front-loaded: it states purpose first, then credentials, cost, and legal context. Each clause adds useful information; only the long comma-separated sentence structure keeps it from being perfectly clear and scannable.

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 many contextual layers—official source, payment, authentication, data sensitivity, and LGPD—but remains incomplete for actual invocation: it does not state whether one of the three identifiers is mandatory, how to choose between them, or what the response contains. With no output schema and no parameter descriptions, this gap matters.

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 the description does not explain the ie, cpf, or cnpj parameters, their expected formats, or which one should be provided—harder because the schema declares zero required parameters. The field names are recognizable Brazilian identifiers, which prevents a score of 1, but the invocation semantics are still largely unsupported.

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 identifies the tool as a SINTEGRA Tocantins consultation against official Brazilian sources, with phrases like 'SINTEGRA: TO, consulta em fonte oficial' and 'consulta informações de fontes e órgãos oficiais brasileiros.' It stops short of a 5 because it never explicitly names the subject entities (IE, CPF, CNPJ) in the description and does not explicitly differentiate from other data-query siblings, though none is present.

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 gives usable operational guidance: use this tool for official, non-confidential citizen-available data, without platform credentials, paying per query with prepaid credits. It does not provide explicit when-not-to-use statements or alternatives, so it misses the top score.

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