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tiktok_audience_demographics

Audience country + language mix for a TikTok creator — engagement sample, not a follower census. Costs 3 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
urlYesTikTok profile URL, @handle, or username, e.g. https://tiktok.com/@username. Not a YouTube channel URL. The URL platform must match this endpoint's platform. Do not pass cross-platform URLs, e.g. YouTube to TikTok, Instagram to Facebook, LinkedIn to X/Twitter, or Pinterest to Rumble.
cacheNoSet true to serve from the 24h response cache (0 credits on hit). Default false — always fetch fresh.
videosNoHow many recent videos to sample comments from: 12 (default, 3 credits), 30 (5 credits), or 60 (8 credits).
countriesLimitNoMax countries in audienceLocations; remainder folds into other{count,percentage}. Omit for the full list (other is omitted when unused).

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral burden. It discloses that results are engagement-based and not a follower census, normally cost 3 credits, are not charged on empty results/failures, and support a free 24-hour cache hit via cache=true while defaulting to fresh data. The 'Costs 3 credits' phrasing is slightly oversimplified since videos=30/60 cost more, but the schema clarifies this and the overall disclosure is strong.

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 sentences with no filler: the first states core purpose and methodology, the second covers pricing and failure billing, and the third explains cache behavior. Information is front-loaded and every sentence earns its place.

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?

The description covers purpose, sampling methodology, cost, failure billing, and caching, which are the key elements for selecting and invoking the tool correctly. A brief mention of the output structure would have been helpful given there is no output schema, but the first sentence and the countriesLimit schema description referencing audienceLocations provide enough high-level context.

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 the schema already documents all four parameters and the baseline is 3. The description adds little beyond what the schema already states about cache and cost; it actually provides less precise cost information than the videos parameter's description. No additional meaning is provided for url, videos, or countriesLimit.

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?

The description clearly states the data domain: audience country and language mix for a TikTok creator, with an important scoping detail ('engagement sample, not a follower census'). It does not use an explicit verb like 'retrieves' and does not name sibling tools to differentiate from alternatives such as tiktok_profile_region or tiktok_channel_details, but the resource and resource type are unambiguous.

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 implies when to use this tool (when you need a TikTok creator's audience country/language mix) and gives practical guidance on cost, non-charging of empty results/failures, and the cache=true free hit. However, it does not explicitly compare to alternative TikTok endpoints or state when not to use this tool, leaving selection vs. siblings to inference.

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.