google_ads_apply_recommendation · Google Ads MCP Server MCP

WHAT IT DOES

What google_ads_apply_recommendation does on Google Ads MCP Server

AI agents use google_ads_apply_recommendation to create or update resources in Google Ads MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Google Ads MCP Server environment.

WHY IT NEEDS A POLICY

Why google_ads_apply_recommendation needs a policy

The tool appears to apply Google Ads recommendations, which would modify campaign configurations, bid strategies, or other settings—a reversible Write operation. However, depending on the specific recommendation type (e.g., budget changes, bid adjustments), this could potentially have Financial implications.

From the tool's definition Tool name 'apply_recommendation' combined with server context of 'comprehensive management of Google Ads campaigns' indicates modification of campaign settings.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

google_ads_apply_recommendation Rate-limited

google_ads_apply_recommendation 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "google_ads_apply_recommendation": {
      "limits": [
        {
          "counter": "google_ads_apply_recommendation_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Google Ads MCP Server, so you can run agents against it safely.

FAQ

Questions about google_ads_apply_recommendation

What does the google_ads_apply_recommendation tool do? +

google_ads_apply_recommendation. It is categorised as a Write tool in the Google Ads MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on google_ads_apply_recommendation? +

Register the Google Ads MCP Server MCP server in PolicyLayer and add a rule for google_ads_apply_recommendation: 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 MCP Server. Nothing to install.

What risk level is google_ads_apply_recommendation? +

google_ads_apply_recommendation is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit google_ads_apply_recommendation? +

Yes. Add a rate_limit block to the google_ads_apply_recommendation 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.

How do I block google_ads_apply_recommendation completely? +

Set action: deny in the PolicyLayer policy for google_ads_apply_recommendation. 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.

What MCP server provides google_ads_apply_recommendation? +

google_ads_apply_recommendation is provided by the Google Ads MCP Server MCP server (mikdeangelis/mcp-google-ads). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.