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

No annotations provided, so description self-discloses behavior: returns tickets across events, newest first, default scope, pagination via cursor. Adequate for a read operation.

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?

Front-loaded with HTTP method and resource, two sentences covering behavior and filtering, no wasted words.

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 3 simple params, no output schema, and low complexity, description covers key aspects: purpose, default behavior, filtering, pagination. Minor gap: no mention of response structure.

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 coverage 100%, description adds value by explaining default status combination, pagination cursor, and limit constraints beyond schema.

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?

Clearly states it lists tickets via GET, describes default behavior (valid+maybe, newest first), and distinguishes from siblings like events and search_events.

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?

Explains when to use (list personal tickets) and how to filter by status. No explicit alternatives mentioned but context implies it's the primary tool for user tickets.

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