Cancel a running task. Args: task_id: The task ID to cancel. api_key: Your Agentwork API key. Returns: JSON with success status.
Risk signalsHandles credentials or secrets (api_key)
Part of the Agentwork server.
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AI agents may call agentwork_cancel_task to permanently remove or destroy resources in Agentwork. Without a policy, an autonomous agent could delete critical data in a loop with no way to undo the damage. PolicyLayer blocks destructive tools by default and requires explicit human approval before enabling them.
Without a policy, an AI agent could call agentwork_cancel_task in a loop, permanently destroying resources in Agentwork. There is no undo for destructive operations. PolicyLayer blocks this tool by default and only allows it when a human explicitly approves the action.
Destructive tools permanently remove data. Block by default. Only enable with explicit approval workflows.
{
"version": "1",
"default": "deny",
"hide": [
"agentwork_cancel_task"
]
}See the full Agentwork policy for all 9 tools.
These attack patterns abuse exactly the kind of access agentwork_cancel_task gives an agent. Each links to the full case and the policy that stops it:
Other destructive tools across the catalogue. The same approach applies to each: deny by default, or require human approval.
Cancel a running task. Args: task_id: The task ID to cancel. api_key: Your Agentwork API key. Returns: JSON with success status.. It is categorised as a Destructive tool in the Agentwork MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Agentwork MCP server in PolicyLayer and add a rule for agentwork_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 Agentwork. Nothing to install.
agentwork_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 agentwork_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 agentwork_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.
agentwork_cancel_task is provided by the Agentwork MCP server (agentwork-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 9 Agentwork tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.