youtube_ask_video
Ask a question against locally ingested YouTube transcripts without network access. Returns an extractive answer plus timestamped source links for grounded follow-up synthesis.
This record as markdown: /tools/cowork-os/youtube-ask-video.md
What youtube_ask_video does on CoWork OS
AI agents call youtube_ask_video to retrieve information from CoWork OS without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why youtube_ask_video is rated Low
This tool performs information retrieval over local transcript data. It queries existing transcripts and returns search results with citations—a classic Read operation. There is no data modification, code execution, deletion, or external action triggering. The "without network access" qualifier further confirms it is purely local data querying.
From the tool's definition Tool description explicitly states it "Ask[s] a question against locally ingested YouTube transcripts" and "Returns an extractive answer plus timestamped source links".
Attacks that exploit this kind of access
The rule that runs youtube_ask_video safely
PolicyLayer is an MCP gateway: it sits between your AI agents and CoWork OS, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For youtube_ask_video, this is the rule to start with:
youtube_ask_video is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect CoWork OS, apply this rule, and every youtube_ask_video call is checked against it from then on.
Questions about youtube_ask_video
Ask a question against locally ingested YouTube transcripts without network access. Returns an extractive answer plus timestamped source links for grounded follow-up synthesis. It is categorised as a Read tool in the CoWork OS MCP Server, which means it retrieves data without modifying state.
Register the CoWork OS MCP server in PolicyLayer and add a rule for youtube_ask_video: 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 CoWork OS. Nothing to install.
youtube_ask_video 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_ask_video 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_ask_video. 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_ask_video is provided by the CoWork OS MCP server (CoWork-OS/CoWork-OS). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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