Remove all usages of a list target
AI agents call remove_list_target_usages to permanently remove resources in AdButler — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
| Parameter | Type | Required | Description |
|---|---|---|---|
id | number | Yes | List target ID |
Parameters from the server's own tool schema.
The verb 'remove' combined with 'all usages' describes a bulk deletion operation that cannot be undone. This affects advertising campaign targeting data, which once deleted cannot be recovered. While not a direct data destruction like 'delete_list', removing all usages of a targeting list is a destructive action that eliminates advertising configurations.
From the tool's definition Tool name 'remove_list_target_usages' and description 'Remove all usages of a list target' indicate irreversible deletion of targeting configurations.
Attacks that exploit this kind of access
Remove all usages of a list target. It is categorised as a Destructive tool in the AdButler MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
remove_list_target_usages accepts 1 parameter: id. Required: id. The full parameter table on this page comes from the server's own tool schema.
Register the AdButler MCP server in PolicyLayer and add a rule for remove_list_target_usages: 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 AdButler. Nothing to install.
remove_list_target_usages 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 remove_list_target_usages 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 remove_list_target_usages. 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.
remove_list_target_usages is provided by the AdButler MCP server (adbutler/mcp-server). 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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