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

No annotations are provided, so the description carries the full burden. It usefully discloses the ordering guarantee, the included position and basic profile information, and the required read scope. It does not cover pagination or error behavior, but listing is clearly non-destructive and the described behavior is accurate.

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 short sentences deliver the core purpose, output characteristics, ordering, and auth requirement with no filler or repetition. The most important information is front-loaded.

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 simple list tool with no output schema, the description conveys the essential behavior and auth. Still, 'basic profile' is vague, and there is no guidance distinguishing this from list_event_attendees, so the definition is adequate but not fully complete.

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 input schema already describes all three parameters with 100% coverage, including defaults for limit and offset. The description adds no parameter-specific detail beyond implying the event in 'an event's waitlist,' so the baseline of 3 is appropriate.

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 action and resource: 'List an event's waitlist.' It also adds meaningful distinguishing detail—queue order, oldest first, position, and basic profile—so it is clearly a different operation from sibling tools like hivelearn_list_event_attendees.

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 'Requires scope read:events' line gives a practical permission precondition, which implies when the tool can be used. However, it does not explicitly contrast this tool with closely related siblings such as list_event_attendees or get_event, so the agent must infer the correct choice from the word 'waitlist.'

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