Apply one Google Ads recommendation by resource name.
AI agents use google_ads_recommendations_apply to create or update resources in Mureo — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mureo environment.
This tool writes/modifies Google Ads campaign data by applying recommendations. While reversible (ads can be paused, recommendations can be undone), it directly alters production ad campaigns, which could waste budget on poorly targeted changes if misapplied by an autonomous agent.
From the tool's definition 'Apply one Google Ads recommendation by resource name' — the verb 'apply' indicates the tool modifies Google Ads configuration by implementing a recommendation, which creates or alters ad campaign settings reversibly.
Documented attack patterns abuse exactly the kind of access google_ads_recommendations_apply gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mureo, and nothing reaches the server without passing your rules. This is the rule we recommend for google_ads_recommendations_apply:
{
"version": "1",
"default": "deny",
"tools": {
"google_ads_recommendations_apply": {
"limits": [
{
"counter": "google_ads_recommendations_apply_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}google_ads_recommendations_apply 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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Apply one Google Ads recommendation by resource name. It is categorised as a Write tool in the Mureo MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Mureo MCP server in PolicyLayer and add a rule for google_ads_recommendations_apply: 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 Mureo. Nothing to install.
google_ads_recommendations_apply 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 google_ads_recommendations_apply 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 google_ads_recommendations_apply. 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.
google_ads_recommendations_apply is provided by the Mureo MCP server (logly/mureo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Mureo, 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.
185 Mureo tools catalogued and risk-classified — across an index of 43,000+ MCP servers.