Medium Risk

purchase_hotel

Book a hotel room by providing guest details and a rate ID from get_hotel_details. Creates a guest profile, adds the room to a cart, and initiates checkout. Returns a payment_url and an x402 payment challenge by default (USDC on Base). Set payment_service to 'coingate' to return a browser-based c...

Part of the Mcp server.

purchase_hotel can modify Mcp 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 purchase_hotel to create or modify resources in Mcp. 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 purchase_hotel 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 Mcp.

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

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

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These attack patterns abuse exactly the kind of access purchase_hotel 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 purchase_hotel 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 purchase_hotel tool do? +

Book a hotel room by providing guest details and a rate ID from get_hotel_details. Creates a guest profile, adds the room to a cart, and initiates checkout. Returns a payment_url and an x402 payment challenge by default (USDC on Base). Set payment_service to 'coingate' to return a browser-based crypto payment URL instead. The booking is confirmed once payment settles; poll get_order_details to check status.. It is categorised as a Write tool in the Mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on purchase_hotel? +

Register the MCP server in PolicyLayer and add a rule for purchase_hotel: 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 Mcp. Nothing to install.

What risk level is purchase_hotel? +

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

Can I rate-limit purchase_hotel? +

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

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

purchase_hotel is provided by the MCP server (https://trip1.com/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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