Request cancellation of a running attempt
AI agents call kill_attempt to permanently remove resources in Treasure Data MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Killing/cancelling a running workflow attempt stops it permanently; any in-progress work is lost and the attempt cannot be resumed, making this an irreversible destructive action with high blast radius if misused against critical jobs.
From the tool's definition 'Request cancellation of a running attempt' — cancelling a running workflow attempt is an irreversible action that terminates execution and cannot be undone
Documented attack patterns abuse exactly the kind of access kill_attempt gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Treasure Data MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for kill_attempt:
{
"version": "1",
"default": "deny",
"hide": [
"kill_attempt"
]
} kill_attempt disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
Free to start. No card required.
Request cancellation of a running attempt. It is categorised as a Destructive tool in the Treasure Data MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Treasure Data MCP Server MCP server in PolicyLayer and add a rule for kill_attempt: 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 Treasure Data MCP Server. Nothing to install.
kill_attempt 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 kill_attempt 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 kill_attempt. 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.
kill_attempt is provided by the Treasure Data MCP Server MCP server (treasure-data/td-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Treasure Data MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
23 Treasure Data MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.