tiktok.video_comments
List comments on a TikTok video. Provide either video_id or video_url, not both. Pass cursor from a previous response to fetch the next page. Cost = 2 tokens.
This record as markdown: /tools/io-github-vee3io-vee3/tiktok.video-comments.md
What tiktok.video_comments does on Vee3
AI agents call tiktok.video_comments to retrieve information from Vee3 without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
count | object | — | Number of comments to return (max 50). |
cursor | object | — | Pagination cursor from a previous response. |
video_id | object | — | TikTok video id. |
video_url | object | — | TikTok video URL. |
Parameters from the server's own tool schema.
Why tiktok.video_comments is rated Low
This tool retrieves and queries publicly available comment data from TikTok videos without creating, modifying, or deleting any data. It has no side effects beyond data retrieval. The ability to paginate through results does not change its fundamental read-only nature. Severity is low because comment listings are typically public information with minimal security risk from retrieval alone.
From the tool's definition Tool description states 'List comments on a TikTok video' with pagination support via cursor. The verb 'List' and the retrieval of existing public comments with no modification capability indicate a read-only operation.
Attacks that exploit this kind of access
The rule that runs tiktok.video_comments safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Vee3, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For tiktok.video_comments, this is the rule to start with:
tiktok.video_comments is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Vee3, apply this rule, and every tiktok.video_comments call is checked against it from then on.
Questions about tiktok.video_comments
List comments on a TikTok video. Provide either video_id or video_url, not both. Pass cursor from a previous response to fetch the next page. Cost = 2 tokens. It is categorised as a Read tool in the Vee3 MCP Server, which means it retrieves data without modifying state.
tiktok.video_comments accepts 4 parameters: count, cursor, video_id, video_url. The full parameter table on this page comes from the server's own tool schema.
Register the Vee3 MCP server in PolicyLayer and add a rule for tiktok.video_comments: 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 Vee3. Nothing to install.
tiktok.video_comments is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the tiktok.video_comments 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 tiktok.video_comments. 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.
tiktok.video_comments is provided by the Vee3 MCP server (https://mcp.vee3.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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