Medium Risk

make_enquiry

Send an enquiry to a Cyclesite seller on the buyer's behalf — Cyclesite becomes the messaging layer for the AI conversation. Per-buyer-per-listing daily cap (2/day) prevents spam. The seller is emailed; the buyer's reply appears via get_my_enquiries. Requires OAuth scope enquiries:respond (note: ...

Part of the Cyclesite Mcp Server server.

make_enquiry can modify Cyclesite Mcp Server 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 make_enquiry to create or modify resources in Cyclesite Mcp Server. 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 make_enquiry 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 Cyclesite Mcp Server.

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

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

See the full Cyclesite Mcp Server policy for all 33 tools.

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

Send an enquiry to a Cyclesite seller on the buyer's behalf — Cyclesite becomes the messaging layer for the AI conversation. Per-buyer-per-listing daily cap (2/day) prevents spam. The seller is emailed; the buyer's reply appears via get_my_enquiries. Requires OAuth scope enquiries:respond (note: the scope name is shared with seller-side replies). Example: 'message the seller of that Trek and ask if they'd take £1,400 collection only in Manchester next Saturday'.. It is categorised as a Write tool in the Cyclesite Mcp Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on make_enquiry? +

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

What risk level is make_enquiry? +

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

Can I rate-limit make_enquiry? +

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

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

make_enquiry is provided by the Cyclesite Mcp Server MCP server (cyclesite-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Cyclesite Mcp Server tool call.

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