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

Adds meaningful behavioral context beyond the readOnly/idempotent annotations: the data is public (same as available to citizens), non-confidential ('não é dado sigiloso'), requires no platform credentials, but incurs per-query charges against prepaid credit, and the client bears LGPD controller responsibility. This enriches the safe-read picture with a concrete cost implication an agent must surface before invoking. Slightly marred by the ambiguous 'sem credenciais da plataforma' phrasing, but clearly value-adding.

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?

Three sentences that front-load the core purpose, but include a redundant construction ('Hospedado pela plataforma, sem credenciais da plataforma') that repeats 'plataforma' and creates ambiguity, plus LGPD legalese that is defensible but boilerplate. The functional content could be tightened while retaining the payment and legal caveats.

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 4-parameter tool with no output schema and zero parameter documentation, the description covers the domain, data sensitivity, cost model, and legal responsibility well, but omits response/return expectations, parameter combinations, and failure behaviors (e.g., insufficient credit, invalid CPF). The LGPD and payment context are valuable additions, but the lack of parameter and output guidance leaves gaps the agent must guess at.

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% and the description does not compensate: it never clarifies cpf, nis, data_inicio, or data_fim formats, whether CPF and NIS are alternatives or complementary, or whether date fields form a required range. An agent is left to infer meaning purely from parameter names and domain knowledge. Since coverage is below 50%, the description was obligated to compensate and did 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 clearly identifies the tool's purpose: querying Seguro Defeso data from the official Transparency Portal ('Portal da Transparência: Seguro Defeso, consulta em fonte oficial'), establishing a specific verb+resource+scope. It stops short of explicitly distinguishing itself from siblings, though the sibling set (authenticate, marketplace, connect) makes the query role evident by contrast. Core function is clear but somewhat diluted by business/compliance boilerplate.

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 when the tool is safe/appropriate to use through operational context: no platform credentials required, pay-per-query with prepaid credit, and the public (non-confidential) nature of the data. However, it names no alternatives or exclusions (e.g., 'for X, use Y'), nor does it advise on scenarios this tool should NOT be used for. Usage context is implied rather than explicitly contrasted with alternatives.

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