Search YouTube for videos, channels, or playlists. Returns items[].id (videoId/channelId/playlistId) and items[].snippet (title, description, thumbnails, channelTitle, publishedAt). Use content_type to filter by resource type. Use page_token from a previous response to paginate additional pages.
AI agents call search_content to retrieve information from Ytmcp without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Even though search_content only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
Search YouTube for videos, channels, or playlists. Returns items[].id (videoId/channelId/playlistId) and items[].snippet (title, description, thumbnails, channelTitle, publishedAt). Use content_type to filter by resource type. Use page_token from a previous response to paginate additional pages. It is categorised as a Read tool in the Ytmcp MCP Server, which means it retrieves data without modifying state.
Register the Yt MCP server in PolicyLayer and add a rule for search_content: 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 Ytmcp. Nothing to install.
search_content 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_content 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_content. 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_content is provided by the Yt MCP server (@mrsknetwork/ytmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.