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TikTok Intelligence ET: batch Video Detail API

nexscope_data_et_batch_video_detail
Read-only

TikTok Intelligence ET: batch Video Detail API.

Input Schema

NameRequiredDescriptionDefault
videoIdsNoTikTok video ID list, up to 1000. Can be obtained from video list query results
videoUrlsNoList of TikTok video URLs (in the form of `https://www.tiktok.com/@<unique_id>/video/<videoId>` or `https://www.tiktok.com/video/<videoId>`), up to 1,000; the server extracts the last `videoId` from each URL and merges it into `videoIds`, which is not mutually exclusive with `videoIds`

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.2/5.0
Behavior2/5

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

Annotations already state readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds nothing beyond that — no batch-size behavior, rate limits, partial-failure handling, or merge semantics for videoUrls into videoIds, all of which matter for a 1,000-item batch call.

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

Conciseness2/5

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

It is short with no wasted words, but this is under-specification rather than conciseness — a single title-like clause with no front-loaded information about inputs, scope, or output.

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?

A data-retrieval tool with no output schema should at least indicate what fields come back (stats, author, music, etc.) and whether IDs/URLs are required. Neither is covered, so an agent cannot predict the result payload from the definition.

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?

Schema description coverage is 100%: videoIds and videoUrls are fully documented, including the URL formats and the merge behavior. The description contributes nothing to parameter meaning, but baseline 3 applies when the schema carries the load.

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

Purpose2/5

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

The description only restates the title: 'batch Video Detail API' for TikTok. It implies fetching details for videos in bulk, but never says what 'detail' contains or how it differs from nearby siblings such as nexscope_data_et_list_video or nexscope_chuhaijiang_tiktok_video_detail. This is effectively a tautological restatement of the name.

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?

There is no when-to-use guidance, no prerequisites (e.g., needing video IDs from a list query), and no mention of alternatives. The agent must infer from the schema alone that this is a follow-up call after a video list/search.

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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