AI agents use assign_label_to_multiple_criteria to create or update resources in Google Ads — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Google Ads environment.
The tool modifies existing advertising criteria by assigning labels, which is a reversible write operation in Google Ads. This affects campaign organization/structure but does not delete data or execute arbitrary code. Severity is medium because bulk label assignments could impact multiple campaign elements, but the operation is reversible.
From the tool's definition Tool name 'assign_label_to_multiple_criteria' indicates modification of advertising criteria through label assignment.
Documented attack patterns abuse exactly the kind of access assign_label_to_multiple_criteria 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 assign_label_to_multiple_criteria:
{
"version": "1",
"default": "deny",
"tools": {
"assign_label_to_multiple_criteria": {
"limits": [
{
"counter": "assign_label_to_multiple_criteria_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} assign_label_to_multiple_criteria stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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assign_label_to_multiple_criteria. It is categorised as a Write tool in the Google Ads MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Google Ads MCP server in PolicyLayer and add a rule for assign_label_to_multiple_criteria: 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.
assign_label_to_multiple_criteria is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the assign_label_to_multiple_criteria 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 assign_label_to_multiple_criteria. 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.
assign_label_to_multiple_criteria 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.
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59 Google Ads tools catalogued and risk-classified — across an index of 43,000+ MCP servers.