broadcast_command · Ai Mcp Terminal MCP: Risk & Policy

WHAT IT DOES

What broadcast_command does on Ai Mcp Terminal

AI agents invoke broadcast_command to trigger actions in Ai Mcp Terminal. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why broadcast_command needs a policy

The tool name 'broadcast_command' strongly implies sending/executing a command across multiple terminal sessions simultaneously. Given the server context of multi-threaded terminal management with up to 100 concurrent terminals, this tool likely executes shell commands across many terminals at once.

From the tool's definition Tool name 'broadcast_command' on a server described as enabling 'async command execution, batch operations' with 'up to 100 concurrent terminals'

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

broadcast_command Rate-limited

broadcast_command stays usable, but rate-capped — a runaway agent can't fire it dozens of times 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_command": {
      "limits": [
        {
          "counter": "broadcast_command_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Ai Mcp Terminal, so you can run agents against it safely.

FAQ

Questions about broadcast_command

What does the broadcast_command tool do? +

broadcast_command. It is categorised as a Execute tool in the Ai Mcp Terminal MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on broadcast_command? +

Register the Ai Mcp Terminal MCP server in PolicyLayer and add a rule for broadcast_command: 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 Ai Mcp Terminal. Nothing to install.

What risk level is broadcast_command? +

broadcast_command is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit broadcast_command? +

Yes. Add a rate_limit block to the broadcast_command 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_command completely? +

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

broadcast_command is provided by the Ai Mcp Terminal MCP server (kanniganfan/ai-mcp-terminal). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.