youtube_analytics_day_of_week
AI agents call youtube_analytics_day_of_week 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.
Based on naming convention and sibling tool analysis, this tool queries YouTube Analytics data grouped by day of week. This is a read operation with no side effects—it retrieves analytics metrics without modifying any data. No destructive, financial, or execution capabilities are implied. Confidence is lowered from 0.85 to 0.75 due to empty description.
From the tool's definition Tool name indicates analytics retrieval ('youtube_analytics_day_of_week'). Sibling tools like 'youtube_analytics_*' consistently perform read-only operations (analytics_daily, analytics_demographics, analytics_geography, analytics_revenue, etc.).
Attacks that exploit this kind of access
youtube_analytics_day_of_week. 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_day_of_week: 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_day_of_week 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_day_of_week 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_day_of_week. 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_day_of_week 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.
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