AI agents call ga4.custom_metrics.list 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.
This tool queries and returns configuration data (custom metrics) from a GA4 property without modifying, executing, or deleting anything. It is purely informational and aligns with the Read category: retrieves or queries data with no side effects.
From the tool's definition Tool name includes 'list' suffix and description states 'List custom metrics' — a retrieval operation with no side effects.
Attacks that exploit this kind of access
List custom metrics on the configured GA4 property. 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.custom_metrics.list: 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.custom_metrics.list 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.custom_metrics.list 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.custom_metrics.list. 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.custom_metrics.list 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.
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