Searches for a keyword or phrase in the transcript and returns matching segments with timestamps. (Alias for search_transcript)
AI agents call search_in_transcript to retrieve information from Youtube without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries existing transcript data by searching for keywords. It performs a read-only operation that does not modify, delete, or execute anything. The blast radius of misuse is minimal—at worst, an AI agent could search transcripts to extract information, which poses no direct security risk. Confidence is high because the description is explicit about the read-only nature of the operation.
From the tool's definition Tool description states it 'Searches for a keyword or phrase in the transcript and returns matching segments with timestamps.' The verb 'searches' and 'returns' indicate data retrieval with no side effects.
Documented attack patterns abuse exactly the kind of access search_in_transcript gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Youtube, and nothing reaches the server without passing your rules. This is the rule we recommend for search_in_transcript:
{
"version": "1",
"default": "deny",
"tools": {
"search_in_transcript": {}
}
}search_in_transcript is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Searches for a keyword or phrase in the transcript and returns matching segments with timestamps. (Alias for search_transcript). It is categorised as a Read tool in the Youtube MCP Server, which means it retrieves data without modifying state.
Register the Youtube MCP server in PolicyLayer and add a rule for search_in_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. Nothing to install.
search_in_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_in_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_in_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_in_transcript is provided by the Youtube MCP server (umbertotancorre/youtube-mcp-cli). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Youtube, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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11 Youtube tools catalogued and risk-classified — across an index of 43,000+ MCP servers.