google_ads_budget_recommendations

THE RISK

Low Risk

Why google_ads_budget_recommendations needs a policy

The name suggests this tool retrieves budget recommendations (read/query operation) rather than modifying budgets. However, the description is empty, which lowers confidence. Based on naming conventions common in Google Ads APIs, 'recommendations' tools typically fetch advisory data without side effects. Severity is low as misuse would at worst return irrelevant advisory information.

From the tool's definition Tool name: google_ads_budget_recommendations — 'recommendations' implies retrieval of advisory data

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

POLICY

How to control google_ads_budget_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_budget_recommendations:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "google_ads_budget_recommendations": {}
  }
}

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

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

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Google Ads MCP Server tools

Financial google_ads_update_campaign_budget_v2 google_ads_update_campaign_budget_v2 Execute google_ads_custom_query google_ads_custom_query Write google_ads_batch_status_change google_ads_batch_status_change Write google_ads_add_audience_to_ad_group google_ads_add_audience_to_ad_group Write google_ads_add_audience_to_campaign google_ads_add_audience_to_campaign Write google_ads_add_call_extension google_ads_add_call_extension Write google_ads_add_callout_extension google_ads_add_callout_extension Write google_ads_add_campaign_exclusions google_ads_add_campaign_exclusions

All 142 Google Ads MCP Server tools →

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about google_ads_budget_recommendations

What does the google_ads_budget_recommendations tool do? +

google_ads_budget_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_budget_recommendations? +

Register the Google Ads MCP Server MCP server in PolicyLayer and add a rule for google_ads_budget_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_budget_recommendations? +

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

Can I rate-limit google_ads_budget_recommendations? +

Yes. Add a rate_limit block to the google_ads_budget_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_budget_recommendations completely? +

Set action: deny in the PolicyLayer policy for google_ads_budget_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_budget_recommendations? +

google_ads_budget_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.

CHECK YOUR STACK →