High Risk →

request_quote

Start a transaction by sending a quote request (inquiry) to a supplier for a specific product_id (get one from search_products). Returns an inquiry_id. Requires authentication — the inquiry is owned by the authenticated buyer. The supplier then submits a quote; poll it with list_quotes.

Part of the Buyer Intelligence server.

request_quote can trigger actions in Buyer Intelligence, 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 request_quote to trigger processes or run actions in Buyer Intelligence. 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.

request_quote 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": {
    "request_quote": {
      "limits": [
        {
          "counter": "request_quote_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Buyer Intelligence policy for all 12 tools.

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

Start a transaction by sending a quote request (inquiry) to a supplier for a specific product_id (get one from search_products). Returns an inquiry_id. Requires authentication — the inquiry is owned by the authenticated buyer. The supplier then submits a quote; poll it with list_quotes.. It is categorised as a Execute tool in the Buyer Intelligence MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on request_quote? +

Register the Buyer Intelligence MCP server in PolicyLayer and add a rule for request_quote: 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 request_quote? +

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

Can I rate-limit request_quote? +

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

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

request_quote 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.

Deterministic rules across all 12 Buyer Intelligence tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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