AI agents call ga4.report.batch to retrieve information from Ads without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool executes batch read/reporting queries against GA4 analytics data. It retrieves analytics reports without modifying any data. The 'batchRunReports' API call is a read-only operation that fetches report data.
From the tool's definition Run up to 5 GA4 reports in a single call (batchRunReports)
Attacks that exploit this kind of access
Run up to 5 GA4 reports in a single call (batchRunReports). It is categorised as a Read tool in the Ads MCP Server, which means it retrieves data without modifying state.
Register the Ads MCP server in PolicyLayer and add a rule for ga4.report.batch: 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 Ads. Nothing to install.
ga4.report.batch is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the ga4.report.batch 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.
Set action: deny in the PolicyLayer policy for ga4.report.batch. 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.
ga4.report.batch is provided by the Ads MCP server (manlikemuneeb/ads-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →