Get actionable content recommendations by cross-referencing quick wins, content gaps, and cannibalisation data. Returns prioritised actions: pages to update, content to create, and pages to consolidate.
AI agents call gsc_content_recommendations 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.
The tool retrieves and analyzes existing data to produce recommendations. It reads and cross-references data from multiple sources (quick wins, content gaps, cannibalisation data) and returns prioritized action lists. There is no indication it creates, modifies, executes, or deletes any data — it only surfaces analytical insights and recommendations.
From the tool's definition 'Get actionable content recommendations by cross-referencing quick wins, content gaps, and cannibalisation data. Returns prioritised actions'
Documented attack patterns abuse exactly the kind of access gsc_content_recommendations 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 gsc_content_recommendations:
{
"version": "1",
"default": "deny",
"tools": {
"gsc_content_recommendations": {}
}
}gsc_content_recommendations is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Get actionable content recommendations by cross-referencing quick wins, content gaps, and cannibalisation data. Returns prioritised actions: pages to update, content to create, and pages to consolidate. 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 gsc_content_recommendations: 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.
gsc_content_recommendations 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 gsc_content_recommendations 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 gsc_content_recommendations. 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.
gsc_content_recommendations 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.
Free to start. No card required.
32 BigQuery MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.