Medium Risk

promakeup_emit_listing_event

Use AFTER successfully referring a user to a listing, or when the user signals data quality (wrong phone, closed). Mirrors /api/listing-events vocabulary. Allowed event_types: bad_phone, closed_business, wrong_address, unanswered_within_24h, consumer_lead, pricing_question, booking_inquiry. Requi...

Part of the Pro Makeup server.

promakeup_emit_listing_event can modify Pro Makeup 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 promakeup_emit_listing_event to create or modify resources in Pro Makeup. 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 promakeup_emit_listing_event 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 Pro Makeup.

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

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

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

Use AFTER successfully referring a user to a listing, or when the user signals data quality (wrong phone, closed). Mirrors /api/listing-events vocabulary. Allowed event_types: bad_phone, closed_business, wrong_address, unanswered_within_24h, consumer_lead, pricing_question, booking_inquiry. Requires a Bearer token with the listing-events:write scope — see https://pro.makeup/.well-known/auth.md to request one.. It is categorised as a Write tool in the Pro Makeup MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on promakeup_emit_listing_event? +

Register the Pro Makeup MCP server in PolicyLayer and add a rule for promakeup_emit_listing_event: 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 Pro Makeup. Nothing to install.

What risk level is promakeup_emit_listing_event? +

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

Can I rate-limit promakeup_emit_listing_event? +

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

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

promakeup_emit_listing_event is provided by the Pro Makeup MCP server (https://pro.makeup/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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