This record as markdown: /tools/pengstrike-mcp/cancel-task.md
What cancel_task does on Pengstrike
AI agents call cancel_task to permanently remove resources in Pengstrike, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Why cancel_task is rated Critical
An AI agent that decides to call cancel_task doesn't hesitate, doesn't double-check, and doesn't stop at one. Whatever it removes from Pengstrike is gone. There is no undo for destructive operations.
Attacks that exploit this kind of access
The rule that runs cancel_task safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Pengstrike, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For cancel_task, this is the rule to start with:
cancel_task is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.
The button opens the PolicyLayer dashboard: create your workspace, connect Pengstrike, apply this rule, and every cancel_task call is checked against it from then on.
Questions about cancel_task
取消一个正在运行或排队的异步任务(杀掉其进程树)。. It is categorised as a Destructive tool in the Pengstrike MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Pengstrike MCP server in PolicyLayer and add a rule for cancel_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 Pengstrike. Nothing to install.
cancel_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 cancel_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 cancel_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.
cancel_task is provided by the Pengstrike MCP server (wangqiongpeng/pengstrike-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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