Fetch top comments from a YouTube video to understand audience sentiment and feedback.
AI agents call get_top_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 and reads existing comments from a YouTube video to analyze audience sentiment. It performs a query operation without creating, modifying, deleting, or executing any actions. The blast radius of misuse is minimal—worst case being excessive API calls or reading comments the agent shouldn't access, neither of which causes irreversible harm or financial impact.
From the tool's definition Tool name 'get_top_comments' and description 'Fetch top comments from a YouTube video' indicate data retrieval with no modification or side effects.
Attacks that exploit this kind of access
Fetch top comments from a YouTube video to understand audience sentiment and feedback. 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_top_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_top_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_top_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_top_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_top_comments is provided by the YouTube MCP Server MCP server (sulavkharel/youtube-mcp). 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.
Teams ship this data inside their own products. See what a licence covers →