Extracts the most frequent meaningful words from a video
AI agents call get_comment_keywords to retrieve information from Youtube-MCP 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 (comment keywords/statistics) from YouTube videos without creating, modifying, deleting, or executing operations. It is a pure data extraction function consistent with the server's stated purpose of intelligence and analysis.
From the tool's definition Tool name 'get_comment_keywords' and description 'Extracts the most frequent meaningful words from a video' indicate data retrieval with no modification or side effects.
Attacks that exploit this kind of access
Extracts the most frequent meaningful words from a video. It is categorised as a Read tool in the Youtube-MCP MCP Server, which means it retrieves data without modifying state.
Register the Youtube- MCP server in PolicyLayer and add a rule for get_comment_keywords: 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. Nothing to install.
get_comment_keywords 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 get_comment_keywords 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 get_comment_keywords. 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.
get_comment_keywords is provided by the Youtube- MCP server (yashkashte5/youtube-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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