AI agents call get_video_info to retrieve information from YT-NINJA without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves metadata about YouTube videos without creating, modifying, deleting, or executing any actions. It is a straightforward query operation that poses minimal risk—the worst outcome of misuse would be unauthorized information disclosure about public video metadata, which is typically already publicly accessible on YouTube.
From the tool's definition Tool name 'get_video_info' and description 'Get YouTube video information' indicate data retrieval with no modification or side effects.
Attacks that exploit this kind of access
Get YouTube video information. It is categorised as a Read tool in the YT-NINJA MCP Server, which means it retrieves data without modifying state.
Register the YT-NINJA MCP server in PolicyLayer and add a rule for get_video_info: 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 YT-NINJA. Nothing to install.
get_video_info 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_info 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_info. 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_info is provided by the YT-NINJA MCP server (satyamkumar420/yt-ninja-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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