broadcast_live_command · QuantConnect MCP Server MCP

WHAT IT DOES

What broadcast_live_command does on QuantConnect MCP Server

AI agents invoke broadcast_live_command to trigger actions in QuantConnect MCP Server. 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_live_command needs a policy

Broadcasting commands to live trading algorithms constitutes executing operations on external systems (live trading bots). The blast radius is high because it affects all live algorithms simultaneously, potentially disrupting active trading strategies in real markets. While it doesn't directly move money, it manipulates live trading systems which could indirectly cause financial impact.

From the tool's definition 'Broadcast a live command to all live algorithms' — triggers external operations across multiple running live trading algorithms

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

broadcast_live_command Rate-limited

broadcast_live_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_live_command": {
      "limits": [
        {
          "counter": "broadcast_live_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 QuantConnect MCP Server, so you can run agents against it safely.

FAQ

Questions about broadcast_live_command

What does the broadcast_live_command tool do? +

Broadcast a live command to all live algorithms in an. It is categorised as a Execute tool in the QuantConnect MCP Server 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_live_command? +

Register the QuantConnect MCP Server MCP server in PolicyLayer and add a rule for broadcast_live_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 QuantConnect MCP Server. Nothing to install.

What risk level is broadcast_live_command? +

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

Can I rate-limit broadcast_live_command? +

Yes. Add a rate_limit block to the broadcast_live_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_live_command completely? +

Set action: deny in the PolicyLayer policy for broadcast_live_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_live_command? +

broadcast_live_command is provided by the QuantConnect MCP Server MCP server (mymanish9-code11/quantconnect-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.