AI agents call remove_customer_asset to permanently remove resources in Google Ads — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
This tool permanently deletes customer assets from a Google Ads account. Deletion is irreversible and represents data loss. While the financial impact is indirect (loss of marketing collateral rather than direct monetary transfer), the destructive nature of asset removal—which cannot be undone and affects live campaigns—places it in the Destructive category, which ranks above Write.
From the tool's definition 'Remove a customer asset' — the verb 'remove' combined with the context of a Google Ads API indicates irreversible deletion of marketing assets (images, videos, documents, etc.) that cannot be recovered without recreation.
Documented attack patterns abuse exactly the kind of access remove_customer_asset gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Google Ads, and nothing reaches the server without passing your rules. This is the rule we recommend for remove_customer_asset:
{
"version": "1",
"default": "deny",
"hide": [
"remove_customer_asset"
]
}remove_customer_asset disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
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Remove a customer asset. It is categorised as a Destructive tool in the Google Ads MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Google Ads MCP server in PolicyLayer and add a rule for remove_customer_asset: 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 Google Ads. Nothing to install.
remove_customer_asset 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_customer_asset 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_customer_asset. 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_customer_asset is provided by the Google Ads MCP server (promobase/google-ads-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Google Ads, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
59 Google Ads tools catalogued and risk-classified — across an index of 43,000+ MCP servers.