List recent videos from a YouTube channel with views, likes, comments, duration, and publish date.
AI agents call list_videos 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 queries publicly accessible video metadata from a YouTube channel. It performs no side effects, does not modify any data, and does not execute external operations or delete content. It is a straightforward data retrieval function aligned with the Read category. Severity is low because misuse by an AI agent would result only in retrieving publicly available information about videos.
From the tool's definition Tool description states it 'List[s] recent videos' and retrieves metadata including 'views, likes, comments, duration, and publish date' — all read-only operations with no modification of data.
Attacks that exploit this kind of access
List recent videos from a YouTube channel with views, likes, comments, duration, 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 list_videos: 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.
list_videos 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 list_videos 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 list_videos. 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.
list_videos 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.
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