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Anteos Health — Medical Appointment Booking

get_appointment

Read-onlyIdempotent

Récupère les informations et le statut d'un rendez-vous. Requiert le appointment_token reçu lors de la réservation (book_appointment) — ce token prouve que l'appelant représente le patient concerné.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
appointment_idYesIdentifiant unique du rendez-vous (obtenu via book_appointment)
appointment_tokenYesToken de sécurité reçu dans la réponse de book_appointment. À stocker côté client et à transmettre ici pour prouver l'identité du patient.

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint. The description adds important behavioral context about the authentication token requirement and its origin from book_appointment, which goes beyond the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the core purpose, and no redundant information. Every word adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Without an output schema, the description could be more specific about the returned information beyond 'informations et le statut'. However, for a simple read operation with strong schema coverage, the current level is adequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and both parameters have clear descriptions in the schema. The description does not add any extra meaning beyond what the schema already provides, so baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Récupère' (retrieves) and the resource 'informations et le statut d'un rendez-vous'. It distinguishes itself from sibling tools like book_appointment and cancel_appointment by requiring the appointment_token for a specific appointment.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explains when to use this tool: after booking and with a token. It implies the token proves patient identity, which guides proper usage. However, it does not explicitly list when not to use or provide direct alternatives like list_my_appointments for batch retrieval.

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

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TDQS

A4.2/5.0
Disambiguation5/5

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.

Naming Consistency5/5

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.

Tool Count5/5

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.

Completeness5/5

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.