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

Beyond the readOnly/high-level hints, the description adds valuable behavioral and operational details: no platform credentials, prepaid per-query cost, the data is citizen-available official information, and LGPD/controller obligations. These go far beyond the annotation hints and are not contradicted by them.

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 with the core purpose, followed by operational details and a privacy note. Every sentence contributes: what it does, how it is access/payment, legal status of the data, and LGPD responsibility. No fluff.

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 read-only query tool with good annotations, the description covers source, access model, cost, confidentiality status, and LGPD implications. The main gap is parameter behavior, but that was already counted under parameter semantics; overall the tool is well contextualized for an agent to select and call it correctly.

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 has three string parameters (cpf, cnpj, nome) with 0% description coverage, and the tool description provides no parameter-specific guidance. It does not say whether at least one identifier is required, whether the parameters can be combined, or how to format them. The descriptive names are helpful but the description adds no semantic value on top of them.

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 query for the CEAT from TRT8, a specific Brazilian labor court official source. The verb 'consultar' matches the action and the full name 'Certidão Eletrônica de Ações Trabalhistas' removes ambiguity. It is distinct from generic sibling tools like authenticate, connect, or marketplace.

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 gives practical context for when and how to use it: official source, no platform credentials required, prepaid per-query credit, and the data is not confidential. It does not explicitly name alternative tools or exclusion cases, but the context is clear enough for tool selection given the sibling list.

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