Top rising K-pop artists right now, ranked by 7-day VELOCITY (rate of change), not standing popularity. Blends Korea search momentum, YouTube upload traction, third-party media pickup and fan-challenge volume — all external to KTRENZ. Rank is the signal.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | How many (1–30, default 15). |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description takes on the burden of disclosure. It explains the data sources (external to KTRENZ), what 'velocity' means, and that rank is the signal, providing useful behavioral context. However, it does not explicitly state that this is a read-only operation or discuss side effects or rate limits, which would push it to a 5.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Three sentences with zero fluff. The key information (velocity metric, not popularity, external sources, rank as signal) is front-loaded and every sentence adds value. It is concise and well-structured.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given there is no output schema, the description gives a good sense of what to expect (list of rising artists) and explains the ranking logic. It does not specify the exact response fields or pagination, but for a simple one-parameter tool, it is sufficiently complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema already fully describes the 'limit' parameter (1–30, default 15). The description does not add any additional meaning about the parameter, so it meets the baseline of 3 for high schema coverage without adding extra value.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it returns top rising K-pop artists ranked by 7-day velocity, explicitly distinguishing from standing popularity. It uses a specific verb and resource (get trending artists) and differentiates itself from sibling tools by emphasizing the velocity metric.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for trending/rising artists, and mentions it's not based on standing popularity, but it does not explicitly name alternative tools or provide when/when-not guidance. The distinction is implicit rather than direct.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool has a clear, distinct purpose: artist-level reach vs. release-level reach vs. trending velocity vs. entity discovery. The only potential confusion is between get_artist_reach and get_release_reach, but the descriptions clearly separate 'artist's measured reach' from 'a specific release's reach.' An agent could occasionally hesitate between the two reach tools, but the boundaries are well-drawn.
get_artist_reach and get_release_reach establish a clean get_<resource>_reach pattern in snake_case, and get_trending mostly follows the get_ prefix. However, search_kdata introduces a different verb, and get_trending uses a gerund rather than a noun object, so the pattern drifts slightly in the second half of the set.
Four tools is well within the ideal 3-15 range for a focused data-access server. Every tool earns its place: search for discovery, artist reach, release reach, and trending. The scale feels right for a niche K-pop reach-data API — extensible without being bloated.
The domain is well-covered: search resolves entities, then you can fetch artist reach, release reach, or the trending list — a complete read workflow. Minor gap: there's no way to enumerate all releases for an artist independent of what get_artist_reach embeds, but for an analytics read API the surface feels whole.
