send_multiple_commands · Claude-Modeling-Labs MCP Server MCP

WHAT IT DOES

What send_multiple_commands does on Claude-Modeling-Labs MCP Server

AI agents invoke send_multiple_commands to trigger actions in Claude-Modeling-Labs 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 send_multiple_commands needs a policy

This tool sends commands directly to network device consoles in a Cisco Modeling Labs environment. Executing commands on network nodes can configure, disrupt, or misconfigure network topologies. The ability to send multiple commands amplifies the blast radius, as an AI agent could issue a sequence of destructive or disruptive network commands (e.g., shutting down interfaces, modifying routing, wiping configs).

From the tool's definition 'Send multiple commands to a node console' — executes arbitrary commands on network device consoles

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

send_multiple_commands Rate-limited

send_multiple_commands 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": {
    "send_multiple_commands": {
      "limits": [
        {
          "counter": "send_multiple_commands_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 Claude-Modeling-Labs MCP Server, so you can run agents against it safely.

FAQ

Questions about send_multiple_commands

What does the send_multiple_commands tool do? +

Send multiple commands to a node console. It is categorised as a Execute tool in the Claude-Modeling-Labs 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 send_multiple_commands? +

Register the Claude-Modeling-Labs MCP Server MCP server in PolicyLayer and add a rule for send_multiple_commands: 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 Claude-Modeling-Labs MCP Server. Nothing to install.

What risk level is send_multiple_commands? +

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

Can I rate-limit send_multiple_commands? +

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

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

send_multiple_commands is provided by the Claude-Modeling-Labs MCP Server MCP server (mediocretriumph/claude-cml-toolkit). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.