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tiktok-download-video

get comment list by video

get_commentList

get comment list by video Group: Comment Related API. Billing per call: 1 Credits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNohttps://www.tiktok.com/@tiktok/video/7093219391759764782 or 7093219391759764782
countNomax 50
cursorNohasMore is True

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.8/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It mentions billing (1 credit) and grouping but does not disclose read-only nature, authentication, rate limits, pagination behavior, return format, or any side effects. The word 'get' implies a read operation, but this is not explicitly stated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very short and avoids fluff, but it largely restates the title and lacks structural value. The billing note is useful, but overall this is under-specification rather than efficient conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations, no output schema, and only a minimal description, the tool lacks key operational context such as how pagination works, how to retrieve all comments, default count behavior, and when to use get_commentReply instead. The schema helps for individual parameters but does not cover overall API usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema covers all three parameters with descriptions and examples: url accepts a URL or video ID, count has max 50, and cursor hints at pagination with 'hasMore is True'. Since schema coverage is 100% and the description adds no additional parameter context, the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('get') and resource ('comment list by video'), so the tool's core purpose is identifiable. However, it does not explicitly distinguish this tool from sibling tools like get_commentReply or other video-related comment APIs.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no guidance on when to use this tool versus alternatives such as get_commentReply. It only labels it as 'Comment Related API' and mentions billing, without any exclusions, prerequisites, or preferred use cases.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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