Delete (cancel) a scheduled message
AI agents call delete_scheduled_message to permanently remove resources in ZulipChat MCP Server — 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 delete_scheduled_message doesn't hesitate, doesn't double-check, and doesn't stop at one. Whatever it removes from ZulipChat MCP Server is gone — there is no undo for destructive operations.
Attacks that exploit this kind of access
Delete (cancel) a scheduled message. It is categorised as a Destructive tool in the ZulipChat MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the ZulipChat MCP Server MCP server in PolicyLayer and add a rule for delete_scheduled_message: 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 ZulipChat MCP Server. Nothing to install.
delete_scheduled_message 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_scheduled_message 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_scheduled_message. 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_scheduled_message is provided by the ZulipChat MCP Server MCP server (pypi:zulipchat-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.