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TikTok Intelligence FM: product Search API

nexscope_data_fm_product_search
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TikTok Intelligence FM: product Search API.

Input Schema

NameRequiredDescriptionDefault
pageNoPage number.
regionNoMarket area code. Optional values: `US` (United States), `GB` (UK), `MX` (Mexico), `ES` (Spain), `DE` (Germany), `IT` (Italy), `FR` (France), `ID` (Indonesia), `VN` (Vietnam), `MY` (Malaysia), `TH` (Thailand), `PH` (Philippines), `BR` (Brazil), `JP` (Japan), `SG` (Singapore).
isSshopNoFilter only TikTok fully hosted (S-shop) items.
keywordNoSearch keywords (fuzzy matching of product titles).
categoryNoFor English category names, the system automatically matches the TikTok category ID; non-English names need to be translated into English first.
pageSizeNoNumber of items per page, maximum `10`.
shopTypeNoStore type: `1`=local store, `2`=cross-border store.
orderFieldNoSorting fields: `day7_units_sold` (7-day sales), `day7_gmv` (7-day GMV), `commission_rate` (commission rate), `total_units_sold` (total sales), `total_gmv` (total GMV), `creator_count` (number of customers). Default is descending order.
isNewListedNoOnly filter new listings.
isTopSellingNoFilter only the best-selling items.
isFreeShippingNoFilter only free shipping products.
unitsSoldRangeNoSales range filtering, format: `{"min": 100, "max": 5000}`.
isLocalWarehouseNoOnly filter products shipped from local warehouses.
creatorCountRangeNoFilter the number of people carrying goods, format: `{"min": 10, "max": 500}`.
commissionRateRangeNoCommission rate range filtering, format: `{"min": 0.05, "max": 0.20}` (decimal, `0.10`=10%).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, openWorldHint=true, so the safety profile is covered structurally. The description adds nothing beyond that — no mention of rate limits, data freshness, pagination behavior, or result coverage across the 15 markets.

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 single sentence is technically concise but is pure under-specification rather than efficiency; there is no front-loaded explanation of what is searched or returned.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 15 optional parameters, nested filter objects, no output schema, and roughly a dozen overlapping TikTok product-search siblings, the description provides no disambiguation or return-shape context. An agent would have to guess between this and other TikTok search tools on name alone.

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%, with all 15 parameters documented in the schema (enums, ranges, sort fields, nested min/max objects). Per the baseline rule the schema carries the burden, and the description adds nothing extra, so a 3 is appropriate.

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

Purpose2/5

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

The text 'TikTok Intelligence FM: product Search API' merely restates the tool name and title without adding a verb phrase or scope statement. It gives no way to distinguish it from the many sibling TikTok product search tools (nexscope_tiktok_product_search, nexscope_chuhaijiang_tiktok_product_search, nexscope_data_fm_product_rank_top_selling).

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

Usage Guidelines1/5

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

There is no guidance whatsoever about when to use this tool versus alternatives, no prerequisites, and no note on marketplace/region coverage. The description contains only a restated title.

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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