stop_environment

Stop an environment

SERVERGitlab Mcp SOURCE@zereight/mcp-gitlab

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-zereight-gitlab-mcp/stop-environment.md

WHAT IT DOES

What stop_environment does on Gitlab Mcp

AI agents invoke stop_environment to trigger actions in Gitlab Mcp. 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.

RISK

Why stop_environment is rated High

Stops a running environment, triggering external operations with significant blast radius on infrastructure.

From the tool's definition Stop an environment - terminates running infrastructure or deployment target.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs stop_environment safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Gitlab Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For stop_environment, this is the rule to start with:

stop_environment Rate-limited

stop_environment 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": {
    "stop_environment": {
      "limits": [
        {
          "counter": "stop_environment_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Gitlab Mcp, apply this rule, and every stop_environment call is checked against it from then on.

FAQ

Questions about stop_environment

What does the stop_environment tool do? +

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

How do I enforce a policy on stop_environment? +

Register the Gitlab MCP server in PolicyLayer and add a rule for stop_environment: 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 Gitlab Mcp. Nothing to install.

What risk level is stop_environment? +

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

Can I rate-limit stop_environment? +

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

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

stop_environment is provided by the Gitlab MCP server (@zereight/mcp-gitlab). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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