youtube_update_video

Update title, description, privacy, or tags on a YouTube video. Costs 1600 quota units. Only fields provided are changed.

SERVERDialogbrain SOURCEhttps://api.dialogbrain.com/mcp

Medium RISK CLASS

Category Write

Parameters 51 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-saloprj-dialogbrain/youtube-update-video.md

WHAT IT DOES

What youtube_update_video does on Dialogbrain

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

Parameter	Type	Required	Description
`tags`	array	—	New tags list. Omit to keep current.
`title`	string	—	New title (max 100 chars). Omit to keep current.
`privacy`	string	—	'private', 'unlisted', or 'public'. Omit to keep current.
`video_id`	string	Yes	Bare videoId OR 'youtube:video:<id>'.
`description`	string	—	New description (max 5000 chars). Omit to keep current.

Parameters from the server's own tool schema.

RISK

Why youtube_update_video is rated Medium

This tool modifies metadata on existing YouTube videos reversibly. Updates to titles, descriptions, privacy settings, and tags can all be undone or corrected later. While this could impact content visibility or audience perception (hence medium severity rather than low), it does not delete data, execute arbitrary code, or involve financial transactions.

From the tool's definition The tool description explicitly states it can "Update title, description, privacy, or tags on a YouTube video." The verb 'update' and the specification of modifiable fields (title, description, privacy, tags) indicate data modification capability.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs youtube_update_video safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Dialogbrain, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For youtube_update_video, this is the rule to start with:

youtube_update_video Rate-limited

youtube_update_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_update_video": {
      "limits": [
        {
          "counter": "youtube_update_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 Dialogbrain, apply this rule, and every youtube_update_video call is checked against it from then on.

FAQ

Questions about youtube_update_video

What does the youtube_update_video tool do? +

Update title, description, privacy, or tags on a YouTube video. Costs 1600 quota units. Only fields provided are changed. It is categorised as a Write tool in the Dialogbrain MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does youtube_update_video accept? +

youtube_update_video accepts 5 parameters: tags, title, privacy, video_id, description. Required: video_id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on youtube_update_video? +

Register the Dialogbrain MCP server in PolicyLayer and add a rule for youtube_update_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 Dialogbrain. Nothing to install.

What risk level is youtube_update_video? +

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

Can I rate-limit youtube_update_video? +

Yes. Add a rate_limit block to the youtube_update_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_update_video completely? +

Set action: deny in the PolicyLayer policy for youtube_update_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_update_video? +

youtube_update_video is provided by the Dialogbrain MCP server (https://api.dialogbrain.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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