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

Annotations already declare readOnlyHint, idempotentHint and openWorldHint=false, so safety and mutation behavior need no restating. The description adds genuine context beyond the annotations: the returned shape (name, description, page link) and an enumeration of covered feature domains such as medication reminders, prenatal care, blood pressure/glucose, nutrition menu, AI chat, birth plan. It does not say whether the list is exhaustive or stable, which is the only gap.

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?

Two sentences, front-loaded with the usage trigger before the return description. The long parenthetical feature list is dense but each item earns its place as a disambiguation aid for feature-existence questions, so it reads as useful rather than padded.

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 an output schema present and zero parameters, the description need not document return structure or inputs, and it still restates the return fields for quick scanning. The one missing piece is whether the enumerated feature list is complete or just illustrative, which matters for an agent answering 'does the app have X' when X is absent from the list.

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 tool takes zero parameters, so the baseline is 4 and there are no parameter semantics for the description to explain. Nothing in the description misleads about inputs.

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 states a specific action and resource: it answers 'what does the Nove app do / does it have feature X' and returns each feature with name, description and page link. This clearly separates it from calculation tools like calculate_due_date or pricing lookups, but it never names a sibling or explicitly contrasts itself with search_nove, so it stops short of full sibling differentiation.

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 trigger is explicit and quoted: 'Use quando perguntarem o que o app Nove faz ou se ele tem um recurso.' That gives a clear when-to-use condition covering both the general 'what does the app do' case and the targeted 'does it support X' case. It provides no when-not-to-use guidance or named alternatives, which keeps it below a 5.

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