Medium Risk

create_booking_request

Use when the user is ready to submit details for a real TaskMan of London booking request.

Risk signalsHigh parameter count (12 properties)

Part of the TaskMan of London server.

create_booking_request can modify TaskMan of London data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use create_booking_request to create or modify resources in TaskMan of London. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call create_booking_request repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach TaskMan of London.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_booking_request": {
      "limits": [
        {
          "counter": "create_booking_request_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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

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

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

What does the create_booking_request tool do? +

Use when the user is ready to submit details for a real TaskMan of London booking request.. It is categorised as a Write tool in the TaskMan of London MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_booking_request? +

Register the TaskMan of London MCP server in PolicyLayer and add a rule for create_booking_request: 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 TaskMan of London. Nothing to install.

What risk level is create_booking_request? +

create_booking_request is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit create_booking_request? +

Yes. Add a rate_limit block to the create_booking_request 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 create_booking_request completely? +

Set action: deny in the PolicyLayer policy for create_booking_request. 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 create_booking_request? +

create_booking_request is provided by the TaskMan of London MCP server (https://taskman.london/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every TaskMan of London tool call.

Deterministic rules across all 20 TaskMan of London tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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