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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so safety is covered. The description adds one genuinely useful non-annotation fact: the required 'reports:read' scope, which tells the agent about permissions needed. The 'Risco: read · Efeitos: Nenhum' clause merely restates the annotations, and nothing is said about result volume, ordering, or retention window.

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 tight sentences with the substantive definition front-loaded and the scope/risk metadata trailing. The 'Risco: read · Efeitos: Nenhum' fragment is redundant with the annotations and is the only wasted text.

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 three undocumented parameters, no output schema, and a near-duplicate sibling, the description should explain filtering behavior and how results are scoped or paginated. It covers the conceptual identity of the tool well but leaves the practical invocation details — what entity filtering means and how much is returned — entirely unaddressed.

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 description coverage is 0% for all three parameters, so the description carries the full burden of explaining limit, entity, and entity_id — but it says nothing about any of them. The existence of an undocumented entity/entity_id filtering pair is the most significant gap, since an agent cannot infer valid entity values or the relationship between the two fields.

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 concrete resource and its content: an operation audit trail capturing 'quem fez o quê e quando' (who did what and when), including actions by connected apps. That is specific enough to understand the tool without opening the schema. However, it never distinguishes itself from the very similar sibling list_audit_events, leaving the agent to guess which audit surface 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 guidance, no prerequisites, and no mention of alternatives — notably list_audit_events, which appears to cover overlapping ground. The audit-trail framing implies a usage context, but nothing tells the agent when this tool is preferred over its near-twin sibling.

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