youtube_analytics_revenue
AI agents call youtube_analytics_revenue 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.
The tool is part of a family of YouTube analytics tools (evidenced by naming convention and sibling tools) that query YouTube Analytics API for metrics and insights. Analytics tools are Read operations—they retrieve data about channel performance, revenue, and viewership without creating, modifying, or deleting resources.
From the tool's definition Tool name 'youtube_analytics_revenue' combined with sibling tools like 'youtube_analytics_overview', 'youtube_analytics_retention', and 'youtube_analytics_revenue_by_video' which are all analytics queries that retrieve reporting data without modification.
Attacks that exploit this kind of access
youtube_analytics_revenue. 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_revenue: 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_revenue 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_revenue 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_revenue. 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_revenue 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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