High Risk →

initiate_booking

Reserve a cleaning slot. No payment is collected up front — the customer pays the cleaner in cash or card at the appointment. Returns { status: "booked" }, the slot is locked in the calendar, and a calendar invite is sent to the email. Always ask the customer for full details (date, start time, h...

Part of the Claw Cleaning server.

initiate_booking can trigger actions in Claw Cleaning, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke initiate_booking to trigger processes or run actions in Claw Cleaning. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

initiate_booking can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "initiate_booking": {
      "limits": [
        {
          "counter": "initiate_booking_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Claw Cleaning policy for all 3 tools.

Get this rule live on your own Claw Cleaning 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 initiate_booking 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 initiate_booking only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the initiate_booking tool do? +

Reserve a cleaning slot. No payment is collected up front — the customer pays the cleaner in cash or card at the appointment. Returns { status: "booked" }, the slot is locked in the calendar, and a calendar invite is sent to the email. Always ask the customer for full details (date, start time, hours, address, name, email) and confirm the booking preview before calling this tool.. It is categorised as a Execute tool in the Claw Cleaning MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on initiate_booking? +

Register the Claw Cleaning MCP server in PolicyLayer and add a rule for initiate_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 Claw Cleaning. Nothing to install.

What risk level is initiate_booking? +

initiate_booking is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit initiate_booking? +

Yes. Add a rate_limit block to the initiate_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.

How do I block initiate_booking completely? +

Set action: deny in the PolicyLayer policy for initiate_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.

What MCP server provides initiate_booking? +

initiate_booking is provided by the Claw Cleaning MCP server (https://claw.cleaning/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Claw Cleaning tool call.

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