delete_deployment

Delete a deployment

SERVERGitlab Mcp SOURCE@zereight/mcp-gitlab

Critical RISK CLASS

Category Destructive

Parameters 00 required

Recommended Hiddensee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-zereight-gitlab-mcp/delete-deployment.md

WHAT IT DOES

What delete_deployment does on Gitlab Mcp

AI agents call delete_deployment to permanently remove resources in Gitlab Mcp, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

RISK

Why delete_deployment is rated Critical

Deleting a deployment is a destructive operation that cannot be undone. It removes a production resource and all associated pods, potentially causing service outages. This is more severe than Execute or Write operations because the effects are irreversible. In a Kubernetes context where deployments manage critical workloads, misuse could have catastrophic impact on system availability and data integrity.

From the tool's definition Tool name 'delete_deployment' and description 'Delete a deployment' explicitly indicate irreversible deletion of Kubernetes deployment resources.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs delete_deployment 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 delete_deployment, this is the rule to start with:

delete_deployment Hidden

delete_deployment is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "hide": [
    "delete_deployment"
  ]
}

RESTRICT THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about delete_deployment

What does the delete_deployment tool do? +

Delete a deployment. It is categorised as a Destructive tool in the Gitlab Mcp MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on delete_deployment? +

Register the Gitlab MCP server in PolicyLayer and add a rule for delete_deployment: 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 delete_deployment? +

delete_deployment is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit delete_deployment? +

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

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

delete_deployment 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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