Medium Risk

place_order

Accept a supplier quote and create an order (status pending_payment) for one of your inquiries. Pass the inquiry_id and the chosen quote_id (from list_quotes' acceptable_quote_ids). Optionally pass a mandate_id (from create_payment_mandate) to auto-authorize the order against an AP2 payment manda...

Part of the Buyer Intelligence server.

place_order can modify Buyer Intelligence 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 place_order to create or modify resources in Buyer Intelligence. 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 place_order 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 Buyer Intelligence.

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

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

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

Accept a supplier quote and create an order (status pending_payment) for one of your inquiries. Pass the inquiry_id and the chosen quote_id (from list_quotes' acceptable_quote_ids). Optionally pass a mandate_id (from create_payment_mandate) to auto-authorize the order against an AP2 payment mandate within its limits — the response then includes mandate_authorization (authorized/declined + reason). Returns the order id, order_no and a payment next_step. Idempotent per inquiry: re-calling returns the existing order. Requires authentication.. It is categorised as a Write tool in the Buyer Intelligence MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on place_order? +

Register the Buyer Intelligence MCP server in PolicyLayer and add a rule for place_order: 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 Buyer Intelligence. Nothing to install.

What risk level is place_order? +

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

Can I rate-limit place_order? +

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

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

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

Enforce policy on every Buyer Intelligence tool call.

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