Analyze the last N videos and return performance insights: avg views, best/worst performers, engagement trends, and niche suggestions.
AI agents call analyze_channel_performance 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 retrieves and analyzes existing data from YouTube (video views, engagement metrics) without modifying anything. It is purely analytical with no side effects. The most severe category applicable is Read. Severity is low because misuse would only expose channel performance insights that the account holder can already see, with no destructive or financial impact.
From the tool's definition Tool performs analysis and returns insights on existing video data: 'avg views, best/worst performers, engagement trends, and niche suggestions.' No creation, modification, deletion, or execution of external code. Only reads and aggregates performance metrics.
Attacks that exploit this kind of access
Analyze the last N videos and return performance insights: avg views, best/worst performers, engagement trends, and niche suggestions. 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 analyze_channel_performance: 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.
analyze_channel_performance 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 analyze_channel_performance 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 analyze_channel_performance. 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.
analyze_channel_performance is provided by the YouTube MCP Server MCP server (sulavkharel/youtube-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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