Medium Risk

send_inquiry

Send a general inquiry to a local service business. Use this when the customer has a question, needs a custom quote, or wants to describe an issue that doesn't fit a specific bookable service. The business owner will be notified immediately via every enabled inquiry channel and will contact the c...

Part of the Qasperai server.

send_inquiry can modify Qasperai 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 send_inquiry to create or modify resources in Qasperai. 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 send_inquiry 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 Qasperai.

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

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

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

Send a general inquiry to a local service business. Use this when the customer has a question, needs a custom quote, or wants to describe an issue that doesn't fit a specific bookable service. The business owner will be notified immediately via every enabled inquiry channel and will contact the customer directly. ONLY call this if the business has 'inquiry' or 'email_inquiry' in its enabledFeatures array.. It is categorised as a Write tool in the Qasperai MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on send_inquiry? +

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

What risk level is send_inquiry? +

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

Can I rate-limit send_inquiry? +

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

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

send_inquiry is provided by the Qasperai MCP server (@qasperai/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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