Annule un rendez-vous existant. L'annulation est définitive. Requiert le appointment_token reçu lors de la réservation (book_appointment).
| Name | Required | Description | Default |
|---|---|---|---|
| appointment_id | Yes | Identifiant unique du rendez-vous à annuler | |
| appointment_token | Yes | Token de sécurité reçu dans la réponse de book_appointment. Révoqué définitivement après annulation. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already signal destructive and idempotent behavior. The description adds that cancellation is definitive and that the token is revoked afterwards, providing behavioral context beyond annotations. No contradictions.
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 two sentences with no wasted words. The first sentence immediately conveys the action and irreversibility. Every sentence earns its place, making it easy to parse.
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 the tool's simplicity (two parameters, no output schema, clear annotations), the description is fully adequate. It covers the essential behavior, prerequisite, and consequence. No additional information is needed for correct invocation.
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 has 100% coverage with detailed descriptions for both parameters. The description adds value by specifying that the appointment_token originates from book_appointment, linking the parameters to their source. This aids understanding beyond the 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?
The description clearly states the action (cancel) and the resource (existing appointment). It emphasizes that cancellation is definitive, distinguishing it from other operations like rescheduling. The verb 'Annule' is specific and directly matches the tool's purpose.
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 provides explicit context by stating the prerequisite: the appointment_token must have been received from book_appointment. This guides the agent on when to use this tool. However, it does not explicitly mention when not to use it or list alternatives, but the context is clear enough.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool has a clearly distinct purpose: booking, cancellation, rescheduling, searching for available slots (differentiated by scope), retrieving appointment details, listing appointments, resending tokens, and searching doctors. No ambiguity between tools.
All tool names follow a consistent verb_noun pattern in snake_case (e.g., book_appointment, find_next_available). This makes the API predictable and easy to use.
With 10 tools, the server is well-scoped for a medical appointment booking system. Each tool serves a necessary function without redundancy or excessive granularity.
The tool set covers the full appointment lifecycle: searching doctors and profiles, checking availability, booking, canceling, rescheduling, retrieving appointment details, listing appointments, and resending tokens. No obvious gaps for the intended domain.
