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

Annotations already establish that this is a read-only, non-destructive, open-world listing operation, so the description does not need to restate safety. It adds useful context about the audit data shape and the underlying GET endpoint, but it does not disclose pagination behavior, default time-range handling, ordering, or access requirements. With annotations covering the safety profile, this is a moderate contribution.

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 is compact and front-loads the purpose before listing filters and the endpoint. Every sentence contributes, though the raw endpoint path is somewhat technical and less useful for tool selection. It is efficient and easy to scan.

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?

Given a read-only listing tool with seven optional parameters, full schema coverage, and no output schema, the description gives a sufficient picture of what is returned and how to filter it. It does not describe pagination expectations or default time-range behavior, but those are largely covered by the schema. The definition is complete enough for an agent to invoke it correctly.

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 100%, so all seven parameters are already documented in the input schema, including date-time formats, page/per_page limits, and example event values. The description reinforces the filter dimensions but does not add syntax or meaning beyond what the schema provides. A baseline score of 3 is appropriate when the schema carries the parameter semantics.

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 resource, the organization's audit trail, and explains the data dimensions: who did what and when, with module/feature/action/actor/success. It is clearly distinguishable from siblings because no other listed tool deals with audit events. However, it does not explicitly name or contrast with any alternative tool, so it falls short of the highest clarity tier.

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 description implies usage by stating the filterable dimensions (module, event name, event type, time range), which suggests when the tool is appropriate. It does not say when not to use it, mention any prerequisites, or point to alternatives. This is adequate but leaves the agent to infer the intended context.

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