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

Annotations already declare readOnlyHint=true and openWorldHint=true, but the description adds important behavioral context: identity always comes from sessionToken, access is locked to paid 'Lente' holders, unauthorized users get a purchase notice and no data, and no write operations are possible. This materially helps an agent predict access failures and avoid expecting write behavior. Return format and rate limits are not described, so it is not a 5.

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 front-loads the critical read-only and paywall constraints before detailing sub-actions, which is the right structure for agent selection. It is dense but mostly earns its length because it covers four sub-actions and access restrictions. There is slight redundancy around 'READ-ONLY' and 'Nenhuma escrita', preventing a 5.

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 multi-action tool with no output schema, the description gives enough context to choose an action and understand access constraints. It explains each sub-action at a high level and clarifies that no data is returned without the paid 'Lente'. It does not describe exact response shapes, but the annotations and schema cover the safety and filtering basics.

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 schema describes ticker, authorHandle, and limit, but the action enum itself has no per-value schema descriptions. The description compensates by explaining what 'overview', 'signals', 'voices', and 'briefings' each return and by noting that ticker and authorHandle apply to signals. This adds useful meaning beyond the schema, though some parameter details remain schema-only.

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 resource as the Atlas of the AI ecosystem and explains that it is a read-only, paywalled lookup tool over curated AI value-chain data. It lists the four sub-actions and what each covers, so an agent can understand the tool's scope. It does not explicitly contrast itself with sibling tools such as sapiens_search, keeping it below a 5.

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?

It states the tool is for staying informed and answering questions over curated AI value-chain data, and it clearly explains the paid 'Lente' access requirement. However, it does not name when to use this instead of sibling tools or specify what to do when the user lacks access beyond receiving a notice. Usage is implied rather than fully guided.

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