Delete a product source target
AI agents call delete_product_source_target 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 |
|---|---|---|---|
publisher_id | number | Yes | Publisher ID |
source_target_id | number | Yes | Source target ID |
Parameters from the server's own tool schema.
The tool performs an irreversible deletion operation on a product source target within AdButler's ad campaign management system. Deletion cannot be undone and constitutes a destructive action. Severity is high because accidental deletion by an AI agent could disrupt advertising campaigns, remove critical targeting data, and require manual restoration.
From the tool's definition Tool name contains 'delete' and description states 'Delete a product source target' — irreversible removal of data.
Attacks that exploit this kind of access
Delete a product source 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.
delete_product_source_target accepts 2 parameters: publisher_id, source_target_id. Required: publisher_id, source_target_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 delete_product_source_target: 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.
delete_product_source_target 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_product_source_target 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_product_source_target. 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_product_source_target 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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