Delete one of your keyword filters.
AI agents call delete_filter 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 performs an irreversible deletion of user-created filters. While the blast radius is limited compared to deletion of posts or core user data, it permanently removes configuration/preferences that cannot be trivially recovered.
From the tool's definition Tool name includes 'delete' and description states 'Delete one of your keyword filters', indicating irreversible removal of user-owned data.
Attacks that exploit this kind of access
Delete one of your keyword filters. 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_filter: 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_filter 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_filter 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_filter. 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_filter 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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