List top-level comments on a video.
AI agents call youtube_list_comments 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 performs a data retrieval operation without modifying, deleting, or executing any actions. It queries public or accessible comment data from a YouTube video, making it a Read category tool. The severity is low because comment retrieval has minimal security impact—comments are typically publicly visible, and listing them poses no risk of data loss, financial harm, or system compromise.
From the tool's definition The tool 'youtube_list_comments' retrieves comments on a video. The verb 'list' and action of retrieving/querying comment data indicates a read-only operation with no side effects.
Attacks that exploit this kind of access
List top-level comments on a video. 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_list_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 YouTube MCP Server. Nothing to install.
youtube_list_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 youtube_list_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 youtube_list_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.
youtube_list_comments 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.
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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