Low Risk

google_ads_get_recommendations

google_ads_get_recommendations

How to control google_ads_get_recommendations ↓

What google_ads_get_recommendations does on Google Ads MCP Server

AI agents call google_ads_get_recommendations to retrieve information from Google Ads MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

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Why google_ads_get_recommendations needs a policy

The tool name strongly suggests it retrieves or fetches recommendations from Google Ads without modifying data. Given the write/execute capabilities of sibling tools and the financial context of Google Ads (advertising spend impacts), a misused read operation could still expose sensitive campaign performance data or lead to poor financial decisions based on recommendations.

From the tool's definition Tool name 'google_ads_get_recommendations' indicates retrieval of recommendations; sibling tools show this server performs write/execute operations (add_keywords, add_audience, add_extensions, add_campaign_exclusions), but this specific tool appears to be a…

Documented attack patterns abuse exactly the kind of access google_ads_get_recommendations gives an agent:

How to control google_ads_get_recommendations

PolicyLayer is an MCP gateway — it sits between your AI agents and Google Ads MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for google_ads_get_recommendations:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "google_ads_get_recommendations": {}
  }
}

google_ads_get_recommendations is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Google Ads MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about google_ads_get_recommendations

What does the google_ads_get_recommendations tool do? +

google_ads_get_recommendations. It is categorised as a Read tool in the Google Ads MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on google_ads_get_recommendations? +

Register the Google Ads MCP Server MCP server in PolicyLayer and add a rule for google_ads_get_recommendations: 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_get_recommendations? +

google_ads_get_recommendations is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit google_ads_get_recommendations? +

Yes. Add a rate_limit block to the google_ads_get_recommendations 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_get_recommendations completely? +

Set action: deny in the PolicyLayer policy for google_ads_get_recommendations. 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_get_recommendations? +

google_ads_get_recommendations is provided by the Google Ads MCP Server MCP server (johnoconnor0/google-ads-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Google Ads MCP Server tool call.

Start from Google Ads MCP Server, 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.

142 Google Ads MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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