execute_query · Google Ads MCP Server MCP: Risk & Policy

WHAT IT DOES

What execute_query does on Google Ads MCP Server

AI agents invoke execute_query to trigger actions in Google Ads MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why execute_query needs a policy

The tool name 'execute_query' on a Google Ads management server suggests the ability to run queries whose effects depend on the query arguments. Within the Google Ads context where sibling tools include destructive operations like pause_campaign and create_campaign, an 'execute_query' function is most likely Execute rather than simple Read, as it could potentially execute modifications or complex operations.

From the tool's definition Tool name 'execute_query' combined with server context as a 'read-write MCP server for managing Google Ads campaigns' suggests arbitrary query execution capability.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

execute_query Rate-limited

execute_query stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "execute_query": {
      "limits": [
        {
          "counter": "execute_query_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-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 execute_query

What does the execute_query tool do? +

execute_query. It is categorised as a Execute tool in the Google Ads MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on execute_query? +

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

execute_query is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit execute_query? +

Yes. Add a rate_limit block to the execute_query 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 execute_query completely? +

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

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