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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive), but the description adds genuinely useful context beyond them: it is free with no key, it returns a ready-to-use `citacao`, it includes a green/yellow/red confidence flag, and it deliberately omits recommendations. With no output schema, this return-shape disclosure carries real weight.

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 core purpose is front-loaded in the first clause, and the remaining sentences map the return contents systematically. It is dense and parenthetical-heavy, but every sentence conveys output content rather than filler, so it earns its length reasonably well.

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 output schema, the description must describe the return, and it does so thoroughly: the six metrics, their comparison baselines, the confidence flag semantics, the 25-word summary line, and the citation field. Safety behavior is covered by annotations. Only the input ticker convention remains unexplained.

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 single `ticker` parameter is undocumented in the schema. The description implies the parameter by stating it targets 'uma AÇÃO da B3', making a stock identifier inferable, but it adds no format, exchange-suffix, or validation detail. For a single obvious parameter this is adequate but not enriched.

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 resource (a B3 stock) and enumerates precisely what the output contains: six numbers across three questions (margin, ROIC, net debt/EBITDA, P/L, P/VP) plus a confidence flag and a citation. This is far more than a restatement of the name. However, it never contrasts itself against clearly overlapping siblings such as `saude`, `scores`, or `multiplos`, so an agent cannot easily tell which to pick.

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?

There is no explicit when-to-use, when-not, or alternative routing. The description clarifies that the tool gives no recommendation and no judgment adjective, which hints at its framing, but it never tells the agent when to reach for `veredito` versus `saude`, `scores`, or `multiplos` — a significant gap given the crowded sibling set.

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