Fetch top-level comments from a YouTube video. Returns author, text, like count, reply count, and publish date.
AI agents call get_video_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 retrieves existing, publicly accessible YouTube comments without creating, modifying, deleting, or executing any operations. It is a straightforward data query operation with no adverse blast radius if misused by an AI agent—at worst, it retrieves already-public information. Low severity because comment data is not sensitive or destructive.
From the tool's definition Tool name 'get_video_comments' and description 'Fetch top-level comments' indicate retrieval of publicly available data with no modification or side effects. Returns author, text, like count, reply count, and publish date—all read-only metadata.
Attacks that exploit this kind of access
Fetch top-level comments from a YouTube video. Returns author, text, like count, reply count, and publish date. 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 get_video_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.
get_video_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_video_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_video_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_video_comments is provided by the YouTube MCP Server MCP server (wynandw87/claude-code-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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