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ga_run_report

Query GA4 analytics data by dimensions (e.g., "city", "pagePath") and metrics (e.g., "activeUsers", "sessions") for a date range. Returns aggregated data rows with dimension and metric values.

Part of the Google_analytics server.

ga_run_report can trigger actions in Google_analytics, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke ga_run_report to trigger processes or run actions in Google_analytics. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

ga_run_report can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "ga_run_report": {
      "limits": [
        {
          "counter": "ga_run_report_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Google_analytics policy for all 24 tools.

Get this rule live on your own Google_analytics server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access ga_run_report gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so ga_run_report only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the ga_run_report tool do? +

Query GA4 analytics data by dimensions (e.g., "city", "pagePath") and metrics (e.g., "activeUsers", "sessions") for a date range. Returns aggregated data rows with dimension and metric values.. It is categorised as a Execute tool in the Google_analytics MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on ga_run_report? +

Register the Google_analytics MCP server in PolicyLayer and add a rule for ga_run_report: 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_analytics. Nothing to install.

What risk level is ga_run_report? +

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

Can I rate-limit ga_run_report? +

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

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

ga_run_report is provided by the Google_analytics MCP server (https://gateway.pipeworx.io/google_analytics/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_analytics tool call.

Deterministic rules across all 24 Google_analytics tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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