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thenavidm

ScrapeCreators MCP Server

by thenavidm

Trending Feed

tiktok_trending_feed

Fetch TikTok's trending/For You feed for a region to discover viral videos and popular content, returning video metadata, stats, and author details.

Instructions

Fetches TikTok's trending/For You feed for a given region — useful for discovering viral content and what's currently popular. Returns aweme_list, an array of video objects each with aweme_id, desc (caption), statistics (play_count, digg_count/likes, comment_count, share_count, collect_count), video (playback and download URLs, cover), author info, and image_post_info for photo carousels. Potentially consumes paid API credits; requires confirm=true. Read-like POST requests do not publish to social platforms.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
trimNoSet to true to get a trimmed response.
regionYesWhere you want the proxy to be. This doesn't mean that you will only see TikToks from this region, you will just see the content that isn't banned in that region.
accountNoNamed private ScrapeCreators account; selects credentials, not a remote account ID.
confirmNoMust be true for the specific approved credit-consuming research call.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.0.0

TDQS

A4.1/5.0
Behavior4/5

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

Annotations give safety hints (readOnlyHint=false, destructiveHint=false, openWorldHint=true), and the description adds real value beyond them: credit consumption, the confirm=true gate, and the reassurance that this read-like POST doesn't publish to social platforms — which pre-empts confusion caused by readOnlyHint=false.

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 the return shape, then the cost/safety caveats. The return-field enumeration is dense but earns its place since there is no output schema; nothing is truly wasted.

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 aweme_list and the key nested fields (aweme_id, desc, statistics, video, author, image_post_info). Cost and safety behavior are covered; pagination/rate-limit behavior is the only notable omission.

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 coverage is 100%, so all four parameters are already documented in the schema. The description only restates the confirm=true requirement and adds no syntax, defaults, or format detail for region/trim/account, so 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?

Specific verb ('fetches') plus resource ('TikTok's trending/For You feed') plus scope ('for a given region'). It is clearly distinguishable from siblings such as tiktok_search_by_keyword, tiktok_get_popular_creators, and tiktok_profile_videos.

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?

States the use case explicitly ('useful for discovering viral content and what's currently popular') and lists the precondition (paid credits, confirm=true). It doesn't name a specific sibling alternative or when-not-to-use it, so it falls short of a 5.

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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