Get top comments for a video. Optionally summarize them.
AI agents call get_comments to retrieve information from MCP YouTube Intelligence without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves comments from YouTube videos and may optionally summarize them. Both operations are read-only with no side effects, no data modification, and no irreversible actions. The summarization is a presentation of existing data, not a modification of it. This is a straightforward data retrieval operation with minimal security risk.
From the tool's definition Tool name 'get_comments' and description 'Get top comments for a video. Optionally summarize them.' indicate retrieval and querying of publicly available data with no modification or deletion capabilities.
Documented attack patterns abuse exactly the kind of access get_comments gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP YouTube Intelligence, and nothing reaches the server without passing your rules. This is the rule we recommend for get_comments:
{
"version": "1",
"default": "deny",
"tools": {
"get_comments": {}
}
}get_comments is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get top comments for a video. Optionally summarize them. It is categorised as a Read tool in the MCP YouTube Intelligence MCP Server, which means it retrieves data without modifying state.
Register the MCP YouTube Intelligence MCP server in PolicyLayer and add a rule for get_comments: 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 MCP YouTube Intelligence. Nothing to install.
get_comments 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_comments 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_comments. 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_comments is provided by the MCP YouTube Intelligence MCP server (janghyuckyun/mcp-youtube-intelligence). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP YouTube Intelligence, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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10 MCP YouTube Intelligence tools catalogued and risk-classified — across an index of 43,000+ MCP servers.