カンバンボードのタスクを削除
AI agents call delete_task to permanently remove resources in GitLab Kanban MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
An AI agent that decides to call delete_task doesn't hesitate, doesn't double-check, and doesn't stop at one. Whatever it removes from GitLab Kanban MCP Server is gone — there is no undo for destructive operations.
Attacks that exploit this kind of access
カンバンボードのタスクを削除. It is categorised as a Destructive tool in the GitLab Kanban MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the GitLab Kanban MCP Server MCP server in PolicyLayer and add a rule for delete_task: 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 Kanban MCP Server. Nothing to install.
delete_task is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the delete_task 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.
Set action: deny in the PolicyLayer policy for delete_task. 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.
delete_task is provided by the GitLab Kanban MCP Server MCP server (sunwood-ai-labs/gitlab-kanban-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.