Remove ToDo work slots. Pass either workSlotId to remove one slot, locator with scope=all, or locator with scope=future and optional from.
AI agents call unschedule_todo to permanently remove resources in Huly — 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 unschedule_todo doesn't hesitate, doesn't double-check, and doesn't stop at one. Whatever it removes from Huly is gone — there is no undo for destructive operations.
Attacks that exploit this kind of access
Remove ToDo work slots. Pass either workSlotId to remove one slot, locator with scope=all, or locator with scope=future and optional from. It is categorised as a Destructive tool in the Huly MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Huly MCP server in PolicyLayer and add a rule for unschedule_todo: 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 Huly. Nothing to install.
unschedule_todo 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 unschedule_todo 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 unschedule_todo. 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.
unschedule_todo is provided by the Huly MCP server (@firfi/huly-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.