broadcast_message · Universal AI Chat MCP Server MCP

WHAT IT DOES

What broadcast_message does on Universal AI Chat MCP Server

AI agents use broadcast_message to create or update resources in Universal AI Chat MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Universal AI Chat MCP Server environment.

WHY IT NEEDS A POLICY

Why broadcast_message needs a policy

The tool name 'broadcast_message' strongly implies sending a message to multiple recipients or sessions simultaneously. In the context of this server (AI-to-AI communication platform), this would write/publish messages across active sessions. Broadcasting to multiple AI agents could have a high blast radius if misused (e.g., sending misleading context to all collaborating agents).

From the tool's definition Tool name 'broadcast_message' with empty description; 'send_message' sibling tool and server context of real-time communication between AI platforms

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

broadcast_message Rate-limited

broadcast_message stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "broadcast_message": {
      "limits": [
        {
          "counter": "broadcast_message_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Universal AI Chat MCP Server, so you can run agents against it safely.

FAQ

Questions about broadcast_message

What does the broadcast_message tool do? +

broadcast_message. It is categorised as a Write tool in the Universal AI Chat 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 broadcast_message? +

Register the Universal AI Chat MCP Server MCP server in PolicyLayer and add a rule for broadcast_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 Universal AI Chat MCP Server. Nothing to install.

What risk level is broadcast_message? +

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

Can I rate-limit broadcast_message? +

Yes. Add a rate_limit block to the broadcast_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 broadcast_message completely? +

Set action: deny in the PolicyLayer policy for broadcast_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 broadcast_message? +

broadcast_message is provided by the Universal AI Chat MCP Server MCP server (marc-shade/universal-ai-chat). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.