run_command · VS Code + GPT Bridge MCP: Risk & Policy

WHAT IT DOES

What run_command does on VS Code + GPT Bridge

AI agents invoke run_command to trigger actions in VS Code + GPT Bridge. 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 run_command needs a policy

Shell command execution is the highest-risk Execute category tool: an agent given this capability can read arbitrary files, modify systems, install malware, exfiltrate data, or destroy infrastructure depending on process permissions. The blast radius is system-wide.

From the tool's definition Tool name 'run_command' with description 'Execute shell command' directly enables arbitrary shell command execution.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

run_command Rate-limited

run_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": {
    "run_command": {
      "limits": [
        {
          "counter": "run_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 VS Code + GPT Bridge, so you can run agents against it safely.

FAQ

Questions about run_command

What does the run_command tool do? +

Execute shell command. It is categorised as a Execute tool in the VS Code + GPT Bridge MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on run_command? +

Register the VS Code + GPT Bridge MCP server in PolicyLayer and add a rule for run_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 VS Code + GPT Bridge. Nothing to install.

What risk level is run_command? +

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

Can I rate-limit run_command? +

Yes. Add a rate_limit block to the run_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 run_command completely? +

Set action: deny in the PolicyLayer policy for run_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 run_command? +

run_command is provided by the VS Code + GPT Bridge MCP server (ndyadav8797-art/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.