Cancel a scheduled job by its ID.
AI agents call cancel_scheduled_job to permanently remove resources in Simple MCP — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Cancelling a scheduled job is an irreversible action — once cancelled, the scheduled execution is lost and cannot be automatically restored. This is analogous to deletion of a configuration/state, making it Destructive. The blast radius is medium since it affects scheduled automation tasks but does not directly delete files or data.
From the tool's definition Cancel a scheduled job by its ID
Attacks that exploit this kind of access
Cancel a scheduled job by its ID. It is categorised as a Destructive tool in the Simple MCP MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Simple MCP server in PolicyLayer and add a rule for cancel_scheduled_job: 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 Simple MCP. Nothing to install.
cancel_scheduled_job 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 cancel_scheduled_job 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 cancel_scheduled_job. 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.
cancel_scheduled_job is provided by the Simple MCP server (karar-hayder/simple-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →