Answers a question about the video or provides a general description if no question is asked.
AI agents call ask_about_youtube_video to retrieve information from Youtube Vision MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries YouTube video content using the Google Gemini Vision API to extract information and answer questions. It has no side effects: it does not create, modify, delete, or execute any operations. The capability is limited to reading and analyzing video data, making it a Read operation with low risk. Confidence is high because the description clearly indicates informational/analytical use only.
From the tool's definition Tool description states it 'Answers a question about the video or provides a general description' — purely retrieval and analysis of video content with no modification, deletion, or execution of external operations.
Documented attack patterns abuse exactly the kind of access ask_about_youtube_video gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Youtube Vision MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for ask_about_youtube_video:
{
"version": "1",
"default": "deny",
"tools": {
"ask_about_youtube_video": {}
}
}ask_about_youtube_video is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Answers a question about the video or provides a general description if no question is asked. It is categorised as a Read tool in the Youtube Vision MCP MCP Server, which means it retrieves data without modifying state.
Register the Youtube Vision MCP server in PolicyLayer and add a rule for ask_about_youtube_video: 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 Vision MCP. Nothing to install.
ask_about_youtube_video 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 ask_about_youtube_video 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 ask_about_youtube_video. 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.
ask_about_youtube_video is provided by the Youtube Vision MCP server (minbang930/youtube-vision-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Youtube Vision MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
4 Youtube Vision MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.