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

No annotations are provided, so the description carries the burden. 'Consulta' implies a read-only operation, and it discloses the returned data points, but it says nothing about permissions, scoping (which account), or whether results are cached/live — gaps that matter for a quota tool with no annotation cover.

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?

A single, front-loaded sentence listing the four data points it returns — no wasted words. It is dense but readable, and the core action ('consulta') leads the sentence.

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?

With no parameters, no annotations, and no output schema, the description compensates by naming the return fields (plan, files today, monthly hours, limits), which is exactly the coverage needed. Only the account scoping and read-only nature are left implicit.

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?

There are zero parameters, so per the baseline rule this scores 4. There is no parameter semantics to explain and the description correctly does not invent any.

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 names a specific verb (consulta) and resource (plano atual da conta) and enumerates exactly what data is retrieved: plan, files used today, monthly hours, and available limits. It is clearly distinct from the sibling transcription CRUD tools, though it never explicitly names an alternative to differentiate itself.

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?

Usage is only implied — an agent can infer this tool answers quota/usage questions, but the description never states when to use it or when not to, nor does it point to any alternative. For a zero-parameter tool with an obvious read purpose, the implicit signal is adequate but not explicit.

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