youtube_ingest_video

Ingest a public YouTube video

SERVERCoWork OS SOURCECoWork-OS/CoWork-OS

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/cowork-os/youtube-ingest-video.md

WHAT IT DOES

What youtube_ingest_video does on CoWork OS

AI agents use youtube_ingest_video to create or update resources in CoWork OS, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your CoWork OS environment.

RISK

Why youtube_ingest_video is rated Medium

Ingesting a video goes beyond a pure read/query operation; it fetches external content and writes or indexes it into the local agentic OS, making Write the most appropriate category. It is not Destructive or Execute, and carries medium severity since it could pull in large or unwanted content into the local environment.

From the tool's definition 'Ingest a public YouTube video' — 'ingest' implies fetching and storing/indexing video content into the local system

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs youtube_ingest_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_ingest_video, this is the rule to start with:

youtube_ingest_video Rate-limited

youtube_ingest_video stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "youtube_ingest_video": {
      "limits": [
        {
          "counter": "youtube_ingest_video_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect CoWork OS, apply this rule, and every youtube_ingest_video call is checked against it from then on.

FAQ

Questions about youtube_ingest_video

What does the youtube_ingest_video tool do? +

Ingest a public YouTube video. It is categorised as a Write tool in the CoWork OS MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on youtube_ingest_video? +

Register the CoWork OS MCP server in PolicyLayer and add a rule for youtube_ingest_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.

What risk level is youtube_ingest_video? +

youtube_ingest_video is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit youtube_ingest_video? +

Yes. Add a rate_limit block to the youtube_ingest_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.

How do I block youtube_ingest_video completely? +

Set action: deny in the PolicyLayer policy for youtube_ingest_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.

What MCP server provides youtube_ingest_video? +

youtube_ingest_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.

KEEP EXPLORING

More on CoWork OS, and thousands of servers like it.

This server

All 342 CoWork OS tools →

Across the catalogue

generate_video_title on YouTube MCP Server →add_video on Mcptube Vision → The MCP Attack Database →

Guides

Govern customer-ops agents →Argument validation →Scoped token →