googleAds_apply_recommendation

Apply a Google Ads optimization recommendation

SERVERScopeGate SOURCEhttps://mcp.scopegate.cloud/{api_key}

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-alifanov-scopegate/googleads-apply-recommendation.md

WHAT IT DOES

What googleAds_apply_recommendation does on ScopeGate

AI agents use googleAds_apply_recommendation to create or update resources in ScopeGate, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your ScopeGate environment.

RISK

Why googleAds_apply_recommendation is rated Medium

The 'apply' verb indicates an action that modifies or commits changes to Google Ads, which is a write operation. While the tool does not delete data (Destructive) or move money directly (Financial), applying recommendations to Google Ads campaigns can alter bid strategies, budgets, keywords, or ad placements—reversible but impactful changes to advertising configurations.

From the tool's definition Tool name 'googleAds_apply_recommendation' and description 'Apply a Google Ads optimization recommendation' indicate a modification action that changes Google Ads campaign settings or configurations.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs googleAds_apply_recommendation safely

PolicyLayer is an MCP gateway: it sits between your AI agents and ScopeGate, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For googleAds_apply_recommendation, this is the rule to start with:

googleAds_apply_recommendation Rate-limited

googleAds_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": {
    "googleAds_apply_recommendation": {
      "limits": [
        {
          "counter": "googleads_apply_recommendation_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect ScopeGate, apply this rule, and every googleAds_apply_recommendation call is checked against it from then on.

FAQ

Questions about googleAds_apply_recommendation

What does the googleAds_apply_recommendation tool do? +

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

How do I enforce a policy on googleAds_apply_recommendation? +

Register the ScopeGate MCP server in PolicyLayer and add a rule for googleAds_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 ScopeGate. Nothing to install.

What risk level is googleAds_apply_recommendation? +

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

Can I rate-limit googleAds_apply_recommendation? +

Yes. Add a rate_limit block to the googleAds_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 googleAds_apply_recommendation completely? +

Set action: deny in the PolicyLayer policy for googleAds_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 googleAds_apply_recommendation? +

googleAds_apply_recommendation is provided by the ScopeGate MCP server (https://mcp.scopegate.cloud/{api_key}). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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