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tiktok_trending_feed

For You by default; pass orderBy/period/page for Creative Center popular videos (like/hot/comment/repost) with totalCount. Flat 2 credits. Costs 2 credits. Empty results and failures are never charged. Pass cache=true for a free 24h cache hit (default always fresh).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoCreative Center page (default 1). page>1 triggers chart mode.
cacheNoSet true to serve from the 24h response cache (0 credits on hit). Default false — always fetch fresh.
limitNoMax items to return (default 20, max 200). Flat 2 credits per call.
periodNoLookback days: 7, 30, or 120 (180→120). Triggers chart mode. Every returned publishedAt is inside this window — a For You fallthrough is filtered the same way.
countryNoTwo-letter ISO country (default US). For You: region-availability hint. Creative Center mode: chart market.
orderByNoCreative Center sort: hot (views), like, comment, or repost. Unknown values are 400. vv/views/plays are aliases of hot — the response echoes the public name. Setting this (or period / page>1) switches from For You to the popular-videos chart. On a For You fallthrough the same sort is applied locally.
countryCodeNoAlias of country. Wins when both are set.

TDQS

A3.7/5.0
Behavior4/5

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

No annotations, so description carries the burden. It discloses flat pricing, free cache hits, and that empty results/failures are never charged. Adds operational behavior beyond the schema, though it doesn't cover response shape or error handling.

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?

Mostly tight and front-loaded, but 'Flat 2 credits. Costs 2 credits.' is a verbatim redundancy that wastes sentence space.

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

Completeness3/5

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

Covers mode selection, pricing, and caching, but with no output schema it only hints at return data via 'with totalCount' and doesn't describe the For You response shape.

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 covers 100% of parameters, so baseline is 3. The description reinforces that orderBy/period/page trigger chart mode and mentions totalCount, but mostly repeats parameter-level guidance already in the schema.

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?

Describes a feed with two modes: For You by default and Creative Center popular-videos chart when orderBy/period/page are passed. The verb and resource are clear ('return trending TikTok videos'), but it doesn't name sibling tools to explicitly differentiate.

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 explicit conditions for chart mode ('pass orderBy/period/page') and cache behavior. Doesn't discuss when to choose this over sibling tools like tiktok_popular_creators or tiktok_video_details, so not 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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TDQS

B3.2/5.0
Disambiguation3/5

The platform-prefix convention keeps most of the 178 tools clearly separated, but several clusters are genuinely ambiguous: tiktok_live_info is explicitly described as 'Identical to TikTok Live', instagram_basic_profile and instagram_channel_details both return profile stats, and facebook_profile_posts overlaps with facebook_profile_reels. The generic 'Summarizer' descriptions for facebook_summarize, instagram_summarize, and tiktok_summarize provide no disambiguating detail at all.

Naming Consistency4/5

The dominant snake_case platform_resource_suffix pattern is followed remarkably consistently across 178 tools (e.g. youtube_channel_videos, tiktok_search_users, reddit_subreddit_posts). Minor deviations exist: the same creator resource is called 'channel' in some tools (tiktok_channel_details, instagram_channel_posts) but 'profile' or 'user' in others (facebook_profile_posts, twitch_user_videos, linnkme_profile); link-in-bio tools mostly use _page but linkme uses _profile; and the video_summarize/video_transcript pair lacks a platform prefix.

Tool Count2/5

At 178 tools this is far beyond what any agent can efficiently navigate in a single flat namespace, and even individual platform subsets exceed reasonable bounds (TikTok alone has ~34 tools, YouTube ~25). The sheer breadth of the multi-platform scope partially justifies the count, but the server would be far more usable split into per-platform servers.

Completeness4/5

The read-only data surface is impressively thorough: nearly every platform has profile + content + search + comments coverage, and TikTok, YouTube, Instagram, and Facebook are covered end-to-end including shops, ads, transcripts, and summaries. Notable gaps are minor: Twitter has no keyword search tool, LinkedIn lacks comments, and Reddit has no user-profile endpoint, but none of these create dead ends for the server's core data-retrieval purpose.