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Tiktok Creator Analytics

nexscope_tiktok_creator_analytics
Read-only

Search TikTok e-commerce creator leaderboards via Kalodata and query detailed profiles for specific creators. Supports viewing top-performing influencer-sellers by region, currency, language, and date range, and using creatorId to retrieve follower count, video/live revenue and GPM, contact information, and associated shops. Trigger when users mention TikTok creator search, TikTok creator ranking, TikTok influencer leaderboard, TikTok creator detail, TikTok creator profile, creator homepage data, creator contact info, TikTok creator search, TikTok creator ranking, TikTok influencer leaderboard, TikTok creator detail, creator analytics, kalodata creator search/detail. Even if the user does not explicitly mention "kalodata", trigger this skill whenever their need involves viewing TikTok creator leaderboards or detailed sales performance data for a specific TikTok creator.

Input Schema

NameRequiredDescriptionDefault
regionNoRegion/market code, e.g., US
shop_idNoShop ID filter
currencyNoCurrency unit, e.g., USD
languageNoReturn language, e.g., zh-CN, en-US
pageSizeNoRank requests only: items per page 5-100; detail requests are unaffected. Finite numeric strings and optional null remain accepted for compatibility.
creatorIdNoCreator unique ID, e.g., 7153432386608251946, obtainable from the creator_id in the creator rank response
dateRangeNoTime range, e.g., last7Day, last30Day
sortFieldNoSort criteria; pass an empty object {} for default rank order when not sorting
pageNumberNoRank requests only: page number 1-5; detail requests are unaffected. Finite numeric strings and optional null remain accepted for compatibility.
category_idsNoCategory ID list filter
creator_typeNoCreator type filter
revenue_rangeNoRevenue / GMV range filter
engagement_rateNoEngagement-rate filter
followers_rangeNoFollower range filter

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already establish a safe, read-only, open-world query operation, and the description adds useful behavioral context about the two modes: leaderboard browsing and detail lookup via creatorId. It also names the profile data returned, though it does not discuss rate limits or pagination behavior beyond what the schema states.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The opening sentences are well front-loaded, but the description is bloated by a long trigger-phrase list that repeats the same phrases twice. Much of that text does not add decision-relevant meaning beyond the first two sentences.

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?

For a 14-parameter tool with no output schema, the description covers the core capabilities and some returned fields. It is still incomplete because it does not clarify how to choose between this tool and the numerous similar TikTok creator/search/detail siblings, nor how the two modes interact with the many optional filters.

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 the parameter definitions already carry most of the semantic load. The description usefully hints that creatorId switches to detail mode and that region/currency/language/date range apply to leaderboard mode, but it leaves most filter parameters and their interactions to 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?

The description states two specific functions: searching TikTok e-commerce creator leaderboards via Kalodata and querying detailed creator profiles. The verb+resource is clear, but it does not differentiate this tool from close siblings such as nexscope_tiktok_creator_search or nexscope_data_kd_creator_rank/detail.

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?

It gives clear trigger conditions, including when the user asks about TikTok creator leaderboards or detailed creator performance data, and notes that 'kalodata' need not be mentioned explicitly. However, it provides no when-not guidance or named alternatives among the many overlapping TikTok creator tools.

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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