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

The annotations already establish that this is a read-only, non-destructive, open-world operation. The description meaningfully adds that results are newest first, that each item includes specific fields, that pagination defaults to 25, that cancel/reschedule tokens are never returned, and that it uses the GET /api/v3/appointments endpoint.

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-loaded: it first states what is listed and for whom, then return fields, pagination, token behavior, and endpoint. Every sentence contributes useful information, with only minor overlap with the schema.

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?

There is no output schema, but the description compensates by listing the returned fields, ordering, pagination behavior, and important security behavior around cancel/reschedule tokens. Combined with the annotations and full schema coverage, an agent has enough context to call the tool 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 coverage is 100%, so the input schema documents parameter formats in detail. The description still adds useful meaning by identifying staff_email as coming from bookafy_list_staff, clarifying the UTC date range, and describing page/per_page behavior. It does not need to repeat all schema details.

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 verb and resource: list the appointments of one staff member. It adds important scope details such as required staff email, newest-first ordering, optional UTC date range, and pagination. It also indirectly distinguishes this from sibling tools by pointing to bookafy_list_staff and noting that cancel/reschedule tokens are never returned.

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 gives clear usage context: the tool is for listing appointments of one staff member, and the required email should be taken from bookafy_list_staff. It explains optional date filtering and pagination. It does not explicitly state when not to use it or name a direct alternative, but the context is clear.

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