Viewlify

Each tool has a distinct core concept: get_outliers measures videos against their creator's baseline, get_trending ranks overall breakout content, and get_trending_hashtags aggregates recurring hashtags. The only soft overlap is that get_trending already returns hashtags and sounds, so an agent may occasionally wonder whether to call it or get_trending_hashtags directly.

All three tools use a consistent get_<resource> snake_case pattern (get_outliers, get_trending, get_trending_hashtags). The naming is predictable and immediately readable.

Three tools is on the lean side, but for a focused TikTok trend-intelligence API each one covers a distinct query type and earns its place. Nothing is redundant or padded.

The surface covers outlier detection, trending content, and hashtag aggregation, but has notable gaps: no dedicated sounds/creators endpoint despite sounds being referenced, no way to discover valid niche values used by the niche filters, and no historical or time-range parameters. Agents can partly work around these via free-text search, but the lack of niche enumeration is a real friction point.