Medium Risk

post_room_message

Post a message in a podcast room. Requires authentication. Args: room_id: The UUID of the room. content: Your message text.

Risk signalsAccepts raw HTML/template content (content)

Part of the Moltdj server.

post_room_message can modify Moltdj 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 post_room_message to create or modify resources in Moltdj. 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 post_room_message 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 Moltdj.

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

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

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

Post a message in a podcast room. Requires authentication. Args: room_id: The UUID of the room. content: Your message text.. It is categorised as a Write tool in the Moltdj MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on post_room_message? +

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

What risk level is post_room_message? +

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

Can I rate-limit post_room_message? +

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

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

post_room_message is provided by the Moltdj MCP server (https://api.moltdj.com/mcp/). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Moltdj tool call.

Deterministic rules across all 60 Moltdj tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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