This record as markdown: /tools/io-github-dearlordylord-huly-mcp/delete-schedule.md
What delete_schedule does on Huly
AI agents call delete_schedule 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.
Why delete_schedule is rated Critical
This tool permanently removes a calendar schedule, which cannot be undone. Deletion operations that destroy data irreversibly fall into the Destructive category, which is more severe than Write (reversible modifications). High severity reflects the blast radius of an agent accidentally deleting important schedules for users or teams.
From the tool's definition Tool name 'delete_schedule' and description 'Delete a calendar schedule by scheduleId' — the verb 'delete' and explicit deletion operation indicate irreversible removal of data.
Attacks that exploit this kind of access
The rule that runs delete_schedule safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Huly, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For delete_schedule, this is the rule to start with:
delete_schedule 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 Huly, apply this rule, and every delete_schedule call is checked against it from then on.
Questions about delete_schedule
Delete a calendar schedule by scheduleId. 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 delete_schedule: 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.
delete_schedule 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_schedule 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_schedule. 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_schedule 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.
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