search_videos
AI agents call search_videos to retrieve information from YouTube Content Management MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool searches and retrieves video data without side effects. The server explicitly supports 'search' operations for content discovery, which are read-only queries. The absence of write, execute, or destructive capabilities, combined with the sibling tools all being fetch/search/metrics operations, confirms this is a retrieval function.
From the tool's definition Tool name 'search_videos' and server description indicate retrieval of video data from YouTube; server focuses on 'search YouTube for videos' and 'content discovery and analysis' with no mention of modification, deletion, or execution capabilities.
Attacks that exploit this kind of access
search_videos. It is categorised as a Read tool in the YouTube Content Management MCP Server MCP Server, which means it retrieves data without modifying state.
Register the YouTube Content Management MCP Server MCP server in PolicyLayer and add a rule for search_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 Content Management MCP Server. Nothing to install.
search_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_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_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_videos is provided by the YouTube Content Management MCP Server MCP server (nastyrunner13/youtube-content-management-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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