AI agents call ga4_gsc_content_roi to retrieve information from BigQuery MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and analyzes content performance data to help identify ROI patterns. It reads from analytics datasets without modifying, deleting, or executing external operations. Even though the description is truncated, the context (analytics query tool on BigQuery server alongside other read-only ga4/gsc tools) and naming pattern clearly indicate a data retrieval function with no side effects.
From the tool's definition Tool name 'ga4_gsc_content_roi' and server description indicate this queries analytics data from BigQuery (Google Analytics 4 and Google Search Console).
Documented attack patterns abuse exactly the kind of access ga4_gsc_content_roi gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and BigQuery MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for ga4_gsc_content_roi:
{
"version": "1",
"default": "deny",
"tools": {
"ga4_gsc_content_roi": {}
}
} ga4_gsc_content_roi is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Find pages that rank well but don. It is categorised as a Read tool in the BigQuery MCP Server MCP Server, which means it retrieves data without modifying state.
Register the BigQuery MCP Server MCP server in PolicyLayer and add a rule for ga4_gsc_content_roi: 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 BigQuery MCP Server. Nothing to install.
ga4_gsc_content_roi 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_gsc_content_roi 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_gsc_content_roi. 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_gsc_content_roi is provided by the BigQuery MCP Server MCP server (suganthan-mohanadasan/suganthans-bigquery-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 32 BigQuery MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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32 BigQuery MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.