Medium Risk

zmq_listen_reply

Listen for requests and reply via ZMQ REP socket

Part of the Mcp Zmq server.

zmq_listen_reply can modify Mcp Zmq 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 zmq_listen_reply to create or modify resources in Mcp Zmq. 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 zmq_listen_reply 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 Mcp Zmq.

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

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

See the full Mcp Zmq policy for all 7 tools.

Get this rule live on your own Mcp Zmq server in minutes. PolicyLayer enforces it on every call, before it runs.

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

Listen for requests and reply via ZMQ REP socket. It is categorised as a Write tool in the Mcp Zmq MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on zmq_listen_reply? +

Register the Mcp Zmq MCP server in PolicyLayer and add a rule for zmq_listen_reply: 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 Mcp Zmq. Nothing to install.

What risk level is zmq_listen_reply? +

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

Can I rate-limit zmq_listen_reply? +

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

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

zmq_listen_reply is provided by the Mcp Zmq MCP server (pypi:mcp-zmq). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mcp Zmq tool call.

Deterministic rules across all 7 Mcp Zmq tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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