cancel_booking
Cancel a booking. Optionally provide a reason.
This record as markdown: /tools/io-favcrm-favcrm/cancel-booking.md
What cancel_booking does on FavCRM
AI agents call cancel_booking to permanently remove resources in FavCRM, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
| Parameter | Type | Required | Description |
|---|---|---|---|
reason | string | — | Cancellation reason |
bookingId | string | Yes | The booking ID to cancel |
Parameters from the server's own tool schema.
Why cancel_booking is rated Critical
Cancelling a booking is a destructive action: once cancelled, the booking slot is released, the customer and staff are notified, and the original reservation cannot simply be restored. This has significant operational impact (lost revenue, customer disruption) and is generally not reversible without creating a new booking manually.
From the tool's definition 'Cancel a booking' — cancellation is typically irreversible and removes a confirmed appointment/reservation from the system
Attacks that exploit this kind of access
The rule that runs cancel_booking safely
PolicyLayer is an MCP gateway: it sits between your AI agents and FavCRM, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For cancel_booking, this is the rule to start with:
cancel_booking is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.
The button opens the PolicyLayer dashboard: create your workspace, connect FavCRM, apply this rule, and every cancel_booking call is checked against it from then on.
Questions about cancel_booking
Cancel a booking. Optionally provide a reason. It is categorised as a Destructive tool in the FavCRM MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
cancel_booking accepts 2 parameters: reason, bookingId. Required: bookingId. The full parameter table on this page comes from the server's own tool schema.
Register the FavCRM MCP server in PolicyLayer and add a rule for cancel_booking: 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 FavCRM. Nothing to install.
cancel_booking is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the cancel_booking 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.
Set action: deny in the PolicyLayer policy for cancel_booking. 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.
cancel_booking is provided by the FavCRM MCP server (https://api.favcrm.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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