search_youtube_videos
AI agents call search_youtube_videos to retrieve information from YouTube Search 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/queries video data from YouTube with no capability to modify, delete, or execute external operations. Search operations are inherently read-only with no side effects on the data. The description is empty, but the name and server context strongly indicate a search/retrieval function with minimal security risk.
From the tool's definition Tool named 'search_youtube_videos' on a server described as providing 'YouTube search functionality' for 'search for videos' with 'YouTube Data API'. Sibling tools all use 'search_youtube' prefix pattern indicating read-only search operations.
Attacks that exploit this kind of access
search_youtube_videos. It is categorised as a Read tool in the YouTube Search MCP Server MCP Server, which means it retrieves data without modifying state.
Register the YouTube Search MCP Server MCP server in PolicyLayer and add a rule for search_youtube_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 Search MCP Server. Nothing to install.
search_youtube_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 search_youtube_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 search_youtube_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.
search_youtube_videos is provided by the YouTube Search MCP Server MCP server (knightmode/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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