Critical Risk →

cancel_appointment

Annule un rendez-vous existant. L'annulation est définitive. Requiert le appointment_token reçu lors de la réservation (book_appointment).

Part of the Anteos Health — Medical Appointment Booking server.

cancel_appointment can permanently delete data in Anteos Health — Medical Appointment Booking, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents may call cancel_appointment to permanently remove or destroy resources in Anteos Health — Medical Appointment Booking. Without a policy, an autonomous agent could delete critical data in a loop with no way to undo the damage. PolicyLayer blocks destructive tools by default and requires explicit human approval before enabling them.

Without a policy, an AI agent could call cancel_appointment in a loop, permanently destroying resources in Anteos Health — Medical Appointment Booking. There is no undo for destructive operations. PolicyLayer blocks this tool by default and only allows it when a human explicitly approves the action.

Destructive tools permanently remove data. Block by default. Only enable with explicit approval workflows.

policy.json
{
  "version": "1",
  "default": "deny",
  "hide": [
    "cancel_appointment"
  ]
}

See the full Anteos Health — Medical Appointment Booking policy for all 10 tools.

Get this rule live on your own Anteos Health — Medical Appointment Booking server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access cancel_appointment gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so cancel_appointment only ever does what you allow.

SECURE ANTEOS HEALTH — MEDICAL APPOINTMENT BOOKING →

Other destructive tools across the catalogue. The same approach applies to each: deny by default, or require human approval.

What does the cancel_appointment tool do? +

Annule un rendez-vous existant. L'annulation est définitive. Requiert le appointment_token reçu lors de la réservation (book_appointment).. It is categorised as a Destructive tool in the Anteos Health — Medical Appointment Booking MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on cancel_appointment? +

Register the Anteos Health — Medical Appointment Booking MCP server in PolicyLayer and add a rule for cancel_appointment: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Anteos Health — Medical Appointment Booking. Nothing to install.

What risk level is cancel_appointment? +

cancel_appointment is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit cancel_appointment? +

Yes. Add a rate_limit block to the cancel_appointment rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block cancel_appointment completely? +

Set action: deny in the PolicyLayer policy for cancel_appointment. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides cancel_appointment? +

cancel_appointment is provided by the Anteos Health — Medical Appointment Booking MCP server (https://anteoshealth.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Anteos Health — Medical Appointment Booking tool call.

Deterministic rules across all 10 Anteos Health — Medical Appointment Booking tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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