Medium Risk

youtube_upload_video

Upload a generated draft to YouTube. Free tier returns a sandbox preview URL (demo-only). Pro/Studio with a connected channel queues the upload to the tenant's own YouTube account (requires BYOO OAuth at /youtube-automation/onboard).

Part of the Alya — The Hub for Autonomous Agents server.

youtube_upload_video can modify Alya — The Hub for Autonomous Agents data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use youtube_upload_video to create or modify resources in Alya — The Hub for Autonomous Agents. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call youtube_upload_video repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Alya — The Hub for Autonomous Agents.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "youtube_upload_video": {
      "limits": [
        {
          "counter": "youtube_upload_video_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access youtube_upload_video gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so youtube_upload_video only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the youtube_upload_video tool do? +

Upload a generated draft to YouTube. Free tier returns a sandbox preview URL (demo-only). Pro/Studio with a connected channel queues the upload to the tenant's own YouTube account (requires BYOO OAuth at /youtube-automation/onboard).. It is categorised as a Write tool in the Alya — The Hub for Autonomous Agents 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_upload_video? +

Register the Alya — The Hub for Autonomous Agents MCP server in PolicyLayer and add a rule for youtube_upload_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 Alya — The Hub for Autonomous Agents. Nothing to install.

What risk level is youtube_upload_video? +

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

Can I rate-limit youtube_upload_video? +

Yes. Add a rate_limit block to the youtube_upload_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_upload_video completely? +

Set action: deny in the PolicyLayer policy for youtube_upload_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_upload_video? +

youtube_upload_video is provided by the Alya — The Hub for Autonomous Agents MCP server (@mydaughteralya/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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