google_ads_recommendations_apply
Apply one Google Ads recommendation by resource name.
This record as markdown: /tools/logly-mureo/google-ads-recommendations-apply.md
What google_ads_recommendations_apply does on Mureo
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.
Why google_ads_recommendations_apply is rated Medium
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.
Attacks that exploit this kind of access
The rule that runs google_ads_recommendations_apply safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mureo, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For google_ads_recommendations_apply, this is the rule to start with:
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.
The button opens the PolicyLayer dashboard: create your workspace, connect Mureo, apply this rule, and every google_ads_recommendations_apply call is checked against it from then on.
Questions about google_ads_recommendations_apply
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.
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