search_transcript
AI agents call search_transcript to retrieve information from YouTube MCP Server Enhanced without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool appears to search or query transcript data from YouTube videos. Search operations that retrieve existing data without side effects fall under the Read category. The low severity reflects that transcript data is typically public YouTube content, and unauthorized access does not cause immediate harm beyond information disclosure.
From the tool's definition The tool name "search_transcript" and the server's stated purpose of YouTube "transcripts" extraction indicates this retrieves transcript data. The server description emphasizes data extraction and analysis with no mention of modification capabilities.
Attacks that exploit this kind of access
search_transcript. It is categorised as a Read tool in the YouTube MCP Server Enhanced MCP Server, which means it retrieves data without modifying state.
Register the YouTube MCP Server Enhanced MCP server in PolicyLayer and add a rule for search_transcript: 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 Enhanced. Nothing to install.
search_transcript 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_transcript 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_transcript. 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_transcript is provided by the YouTube MCP Server Enhanced MCP server (labeveryday/youtube-mcp-server-enhanced). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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