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 valuable context beyond these: it clarifies the hosted nature (no platform credentials needed), the payment model (prepaid credit per query), the official source of data (same as accessible to citizens, not confidential), and legal compliance (LGPD). This enriches the agent's understanding of the tool's operational and legal behavior without contradicting 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 sentence that delivers multiple key points: the tool's domain, official source, hosting, payment, and legal framework. It is front-loaded with the core purpose and packs substantive information without redundancy. Every clause earns its place, making it highly concise and efficiently structured.

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 tool has 8 parameters, no output schema, and only basic annotations. The description provides useful operational context (payment, official sources, LGPD) but leaves critical gaps: it does not specify what the tool returns (e.g., a list of processes, status, details), how the parameters map to a query (e.g., which combinations are valid), or how authentication credentials are used. Given the complexity, the description is insufficient for an agent to invoke the tool correctly without further inference, warranting a low score.

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 eight parameters (a3, a3_pin, login_cpf, login_senha, cpf, cnpj, placa, renavam) with no descriptions. The description does not explain any parameter's purpose, format, or relationship to the query. With 0% schema description coverage, the description fails to compensate, leaving the agent to guess meanings. The parameter names are somewhat self-explanatory for Brazilian identifiers, but the authentication parameters (a3, a3_pin) are entirely cryptic. This is a significant gap.

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 states the tool performs a consultation (consulta) of licensing processes (processos de licenciamento) from an official source. It distinguishes itself from sibling tools like authenticate, connect, and marketplace by specifying the exact domain (ECRVSP licensing) and action (query). The purpose is specific and unambiguous.

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 contextual usage information: it mentions the query is against official Brazilian sources, requires prepaid credits, and is subject to LGPD data control responsibilities. However, it does not explicitly state when to use this tool versus alternatives, nor does it mention exclusions or prerequisites. The guidance is implied rather than explicit, earning a mid-range score.

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