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TikTok User Videos

tiktok_user_videos
Read-only

Get a TikTok user's videos, newest first, by username, numeric user ID or profile URL (provide exactly one). Returns caption, link, publish date, play, like, comment, share, download and save counts, watermark-free playback URLs, cover images, the sound used and author details for each video, about 30 per page. Billed $0.006 per page.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoTikTok profile URL, e.g. https://www.tiktok.com/@tiktok (max 500 characters). Provide exactly one of username, user_id, or url.
pagesNoNumber of pages to fetch, 1-1000 (default: 1). Each page returns up to 30 videos.
user_idNoNumeric TikTok user ID, as returned by Search Users or User Profile. Provide exactly one of username, user_id, or url.
usernameNoTikTok username, with or without leading @ (max 100 characters). Provide exactly one of username, user_id, or url.
get_sentimentNoAdd AI sentiment analysis (Plutchik emotions, dominant_emotion, intensity, and positive/negative/neutral polarity) to each result. Adds a small surcharge per page, or per request on single-request endpoints.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is covered. The description adds genuinely new behavioral context: newest-first ordering, ~30 videos per page, and a concrete billing rate of $0.006 per page, which is not derivable from any structured field.

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

Conciseness4/5

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

Front-loaded with purpose, then identity inputs, then return fields, then pagination and cost. The middle run-on enumerating every returned metric is dense but each element is informative, so it earns its place with only slight redundancy against the schema.

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

Completeness4/5

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

With no output schema, the description correctly compensates by enumerating return fields (counts, watermark-free URLs, cover images, sound, author). Combined with pagination size and billing disclosure, an agent has nearly everything needed. Minor gaps: no mention of error behavior when the identifier doesn't resolve, and no rate-limit context.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3. The description adds marginal value by mapping pages to output volume ('about 30 per page'), clarifying the practical meaning of the pages parameter beyond the schema's 'up to 30 videos' note, though it adds nothing for get_sentiment beyond what the schema states.

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

Purpose5/5

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

States a specific verb and resource (get a TikTok user's videos) with a scoping qualifier (newest first, by username/user_id/url) that clearly separates it from siblings like tiktok_user_likes, tiktok_user_stories, and tiktok_video_details. An agent can identify this tool without opening the schema.

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

Usage Guidelines3/5

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

The description constrains invocation by requiring exactly one identifier, which is useful. However, it names no alternatives and gives no when-to-use or when-not-to-use guidance relative to adjacent tools such as tiktok_video_details or tiktok_hashtag_videos. Usage is implied rather than stated.

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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