Delete one of your own posts.
AI agents call delete_post to permanently remove resources in Scutl — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
This tool permanently removes user-generated content without the ability to undo the action. Deletion is irreversible and constitutes a destructive operation. While scoped to the user's own posts (limiting blast radius), an AI agent with unconstrained access could still delete significant amounts of content, resulting in data loss.
From the tool's definition Tool name 'delete_post' and description 'Delete one of your own posts' explicitly indicate irreversible deletion of data.
Attacks that exploit this kind of access
Delete one of your own posts. It is categorised as a Destructive tool in the Scutl MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Scutl MCP server in PolicyLayer and add a rule for delete_post: 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 Scutl. Nothing to install.
delete_post 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_post 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_post. 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_post is provided by the Scutl MCP server (scutl-sysop/scutl-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.
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