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Nexscope Ecommerce Data MCP

TikTok Creator Search

nexscope_chuhaijiang_tiktok_creator_search

Provider business records for TikTok Creator Search. Known row fields: account_type, author_avg_engagement_rate, bio_email, category_label, country_code, ecom_video_avg_play_count, facebook_url, follower_count, follower_count_growth_for_last_7_days, has_live_product, has_shop_product, has_video_product, id, ins_id, live_30d_gmv, live_30d_gpm, nickname, product_category_label_list, total_favorited, total_video_live_30d_gmv, unique_id, user_avatar, user_sell_product_l3_category, video_30d_gmv, video_30d_gpm, video_avg_like_count, video_avg_play_count, video_total_like_count_to_follower_count_ratio, youtube_channel_id. Missing and null fields remain unchanged; monetary values retain their original unit and runtime type.

Input Schema

NameRequiredDescriptionDefault
pageNoPage number, starting at 1.
sortNoProvider sort field and direction (field:asc or field:desc).gmv_30d:desc
countryYesLowercase TikTok market code.
keywordNoCreator search keyword.
categoryNoCreator category.
pageSizeNoMaximum records per page.
maxGmv30dNoMaximum 30-day GMV.
minGmv30dNoMinimum 30-day GMV.
hasContactNoFilter by availability of public contact information.
maxAvgViewsNoMaximum average view count.
minAvgViewsNoMinimum average view count.
maxFollowersNoMaximum follower count.
minFollowersNoMinimum follower count.
maxEngagementNoMaximum engagement rate.
minEngagementNoMinimum engagement rate.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

The description adds genuinely useful behavioral notes beyond the annotations — that missing/null fields are left unchanged and that monetary values keep their original unit and runtime type — which helps an agent interpret results. However, annotations declare readOnlyHint=false while this is plainly a query endpoint, and the description never resolves whether the call is a safe read or has side effects, nor mentions rate limits or response envelope shape.

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

Conciseness4/5

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

The single paragraph is front-loaded and free of filler; the long field enumeration is defensible because there is no output schema and it is the only return-value documentation. The only waste is the tautological first sentence, which repeats the title verbatim.

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?

With no output schema, the field list does useful work in telling the agent what a row looks like. But for a 15-parameter, 10-record-per-page search tool amid many near-duplicate creator siblings, the definition still leaves out response envelope/pagination behavior (total counts, max pageSize implications) and any disambiguation, so an agent could call it correctly but not confidently choose it.

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 all 15 parameters (country enum, min/max GMV, followers, avg views, engagement, page/pageSize, sort pattern) are already documented in the schema. The description's field list does not map to filter parameters (e.g. gmv_30d vs minGmv30d/maxGmv30d) or explain sort-field semantics, so it adds nothing parameter-level beyond the schema. Baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The opening sentence "Provider business records for TikTok Creator Search" largely restates the title rather than stating a verb-plus-resource operation (e.g. 'search and return TikTok creator profiles filtered by...'). The enumerated row fields do clarify what data comes back, but the tool's action is never distinguished from close siblings such as nexscope_tiktok_creator_search, nexscope_chuhaijiang_tiktok_creator_detail, or the rankings tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisite, and no mention of any alternative despite a crowded creator-tool family (detail, related_videos, related_products, rankings_growth, analytics). An agent must infer entirely on its own whether to call this search, the sibling creator search, or a detail endpoint.

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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