Get the transcript of a YouTube video given its ID.
AI agents call youtube_transcript to retrieve information from WebQuest MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only fetches and returns existing data (video transcripts). It performs no write operations, does not execute code or commands, does not delete data, and has no financial impact. The blast radius of misuse is minimal—an agent could potentially retrieve transcripts of many videos or private/sensitive content, but the operation is read-only and non-destructive. Classified as Read with low severity.
From the tool's definition Tool retrieves transcript data from a YouTube video (no modification). The name is 'youtube_transcript' and the description states 'Get the transcript' which is a retrieval operation with no side effects.
Attacks that exploit this kind of access
Get the transcript of a YouTube video given its ID. It is categorised as a Read tool in the WebQuest MCP MCP Server, which means it retrieves data without modifying state.
Register the WebQuest MCP server in PolicyLayer and add a rule for youtube_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 WebQuest MCP. Nothing to install.
youtube_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 youtube_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 youtube_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.
youtube_transcript is provided by the WebQuest MCP server (mustafametesengul/webquest-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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