Skip to main content
Glama

TikTok User Likes

tiktok_user_likes
Read-only

Get the videos a TikTok user has liked, by username, numeric user ID or profile URL (provide exactly one). Returns the same video fields as tiktok_user_videos, about 30 per page. Accounts that hide their liked videos return an empty list. 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

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered. The description adds genuinely useful behavior beyond that: ~30 videos per page, empty list for accounts hiding likes, and a $0.006 per page billing rate — cost and edge-case behavior an agent would otherwise not know.

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

Conciseness5/5

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

Three tight sentences: identical verb/resource scoping first, then identity constraint, then pagination, edge case, and cost. No sentence is redundant and the key constraint is front-loaded.

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

Completeness5/5

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

For a read-only, no-output-schema endpoint, the description covers pagination yield, billing, an important empty-result edge case, and points to a sibling for the return shape. Nothing needed to call it correctly is missing.

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%, so all five parameters are already documented, including the exactly-one constraint and page sizing. The description adds only the 'about 30 per page' yield figure, so the baseline 3 applies.

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 the videos a TikTok user has liked') and enumerates the three accepted identifiers. It also explicitly distinguishes itself from tiktok_user_videos by noting it returns the same video fields, so an agent can tell the two apart without opening schemas.

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

Usage Guidelines4/5

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

Gives the concrete invocation constraint 'provide exactly one' of username/user_id/url, which is essential guidance. It lacks explicit when-not guidance (e.g., when to prefer tiktok_user_videos or how this differs for analytics use), but the operating context is clear.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources