AI agents use youtube_upload_caption to create or update resources in Youtube — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Youtube environment.
Uploading captions creates or adds metadata to a video reversibly—captions can be edited, replaced, or deleted later. This is a Write operation (not Read because it modifies state, not Execute because it doesn't run arbitrary code, not Destructive because captions aren't irreversibly deleted).
From the tool's definition Tool uploads a new caption track to a YouTube video; the verb 'upload' combined with 'new' indicates creation of content; 'from a local file' confirms the mechanism that copies external data into the platform.
Attacks that exploit this kind of access
Upload a new caption track to a YouTube video from a local file. The file is streamed directly from disk via \. It is categorised as a Write tool in the Youtube MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Youtube MCP server in PolicyLayer and add a rule for youtube_upload_caption: 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.
youtube_upload_caption is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the youtube_upload_caption 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_upload_caption. 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_upload_caption is provided by the Youtube MCP server (tuitamogamer-gpt/youtube-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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