Get audience demographics — age group and gender breakdown.
AI agents call youtube_analytics_demographics to retrieve information from YouTube MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a read-only query of demographic analytics data. It has no side effects, does not modify data, does not execute code or external operations, and does not involve financial transactions. The low severity reflects that demographic analytics are typically public or already-owned data with minimal risk from misuse.
From the tool's definition Tool retrieves analytics data: 'Get audience demographics — age group and gender breakdown.' This is a query operation that fetches existing analytics information without modifying, deleting, or executing any actions.
Attacks that exploit this kind of access
Get audience demographics — age group and gender breakdown. It is categorised as a Read tool in the YouTube MCP Server MCP Server, which means it retrieves data without modifying state.
Register the YouTube MCP Server MCP server in PolicyLayer and add a rule for youtube_analytics_demographics: 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 YouTube MCP Server. Nothing to install.
youtube_analytics_demographics 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 youtube_analytics_demographics 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 youtube_analytics_demographics. 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.
youtube_analytics_demographics is provided by the YouTube MCP Server MCP server (pauling-ai/youtube-mcp-server). 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.
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