Get a human-readable summary of video comments. This tool extracts comments and formats them into an easy-to-read summary. It can render either a linear flat list or grouped reply threads. Args: - url (string): Full video URL - maxComments (number): Maximum comments to include (1-50, default: 10)...
AI agents call ytdlp_get_video_comments_summary 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 summarizes publicly available video comments without side effects. It performs a read-only query operation on YouTube video data. The maxComments parameter and view option control output formatting but do not alter underlying data. No financial, destructive, or code execution capabilities are present.
From the tool's definition Tool description states it 'extracts comments and formats them into an easy-to-read summary' with arguments for URL and maxComments, indicating data retrieval only. No modification, deletion, or execution capabilities are described.
Documented attack patterns abuse exactly the kind of access ytdlp_get_video_comments_summary gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and YouTube MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for ytdlp_get_video_comments_summary:
{
"version": "1",
"default": "deny",
"tools": {
"ytdlp_get_video_comments_summary": {}
}
}ytdlp_get_video_comments_summary is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Get a human-readable summary of video comments. This tool extracts comments and formats them into an easy-to-read summary. It can render either a linear flat list or grouped reply threads. Args: - url (string): Full video URL - maxComments (number): Maximum comments to include (1-50, default: 10) - view (enum):. 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 ytdlp_get_video_comments_summary: 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.
ytdlp_get_video_comments_summary 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 ytdlp_get_video_comments_summary 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 ytdlp_get_video_comments_summary. 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.
ytdlp_get_video_comments_summary is provided by the YouTube MCP Server MCP server (kevinwatt/yt-dlp-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from YouTube MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
10 YouTube MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.