execute_batch · LuzzyTool MCP: Risk & Policy

WHAT IT DOES

What execute_batch does on LuzzyTool

AI agents invoke execute_batch to trigger actions in LuzzyTool. 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 execute_batch needs a policy

This tool executes arbitrary shell commands in batch mode within a specified directory. This is a classic Execute category tool with critical severity because: (1) it runs shell commands whose effects depend entirely on the arguments provided; (2) batch execution of multiple commands compounds the risk; (3) an AI agent could accidentally or maliciously execute destructive, financial, or system-compromising commands;…

From the tool's definition Tool name 'execute_batch' and description '【批量执行】在同一个工作目录下依次执行多条命令' (Batch execution: sequentially execute multiple commands in the same working directory) explicitly indicate shell command execution capability.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

execute_batch Rate-limited

execute_batch 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": {
    "execute_batch": {
      "limits": [
        {
          "counter": "execute_batch_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 LuzzyTool, so you can run agents against it safely.

FAQ

Questions about execute_batch

What does the execute_batch tool do? +

【批量执行】在同一个工作目录下依次执行多条命令。. It is categorised as a Execute tool in the LuzzyTool MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on execute_batch? +

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

What risk level is execute_batch? +

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

Can I rate-limit execute_batch? +

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

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

execute_batch is provided by the LuzzyTool MCP server (luzzymeow/luzzytool). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.