Medium Risk

publish_to_youtube

Publish an existing video from a transcribe or summarize job to YouTube. Creates a paid publish job (flat $1.75 price) and stores the OAuth token. Captions are auto-generated from the session transcript if available. Workflow: create_job → pay → trigger_youtube_publish → poll get_youtube_publish_...

Risk signalsHandles credentials or secrets (access_token)

Part of the Weftly server.

publish_to_youtube can modify Weftly 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 publish_to_youtube to create or modify resources in Weftly. 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 publish_to_youtube 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 Weftly.

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

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

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

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so publish_to_youtube 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 publish_to_youtube tool do? +

Publish an existing video from a transcribe or summarize job to YouTube. Creates a paid publish job (flat $1.75 price) and stores the OAuth token. Captions are auto-generated from the session transcript if available. Workflow: create_job → pay → trigger_youtube_publish → poll get_youtube_publish_status. Requires a YouTube OAuth2 access token obtained independently via Google OAuth (scope: youtube.upload).. It is categorised as a Write tool in the Weftly MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on publish_to_youtube? +

Register the Weftly MCP server in PolicyLayer and add a rule for publish_to_youtube: 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 Weftly. Nothing to install.

What risk level is publish_to_youtube? +

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

Can I rate-limit publish_to_youtube? +

Yes. Add a rate_limit block to the publish_to_youtube 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 publish_to_youtube completely? +

Set action: deny in the PolicyLayer policy for publish_to_youtube. 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 publish_to_youtube? +

publish_to_youtube is provided by the Weftly MCP server (https://api.weftly.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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