Search YouTube for videos with full filter support: upload date, duration, sort order, and content type.
AI agents call search_videos to retrieve information from YouTube MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries YouTube's video database and returns results based on filters (upload date, duration, sort order, content type). It retrieves information without creating, modifying, deleting, or executing anything. The blast radius of misuse is minimal—an agent could only retrieve potentially unwanted video data, not affect any systems or data integrity.
From the tool's definition Tool description states it 'Search[es] YouTube for videos' with filtering options. The function name 'search_videos' and the verb 'search' indicate data retrieval with no modification or execution.
Attacks that exploit this kind of access
Search YouTube for videos with full filter support: upload date, duration, sort order, and content type. It is categorised as a Read tool in the YouTube MCP Server MCP Server, which means it retrieves data without modifying state.
Register the YouTube 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 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 MCP Server MCP server (wynandw87/claude-code-youtube-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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