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Nexscope Ecommerce Data MCP

TikTok Commerce Intelligence CJ: sellers/search API

nexscope_data_cj_sellers_search

TikTok Commerce Intelligence CJ: sellers/search API.

Input Schema

NameRequiredDescriptionDefault
pageNoPage number, minimum 1
sortNo`field:asc` or `field:desc`
countryYesLower case country code
keywordNoStore search keywords
categoryNoProduct category ID
pageSizeNoNumber per page, maximum 10
sellerTypeNoSeller type value

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.3/5.0
Behavior2/5

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

Annotations only supply readOnlyHint=false and openWorldHint=true, so the description carries the remaining burden and supplies nothing: no mention of auth requirements, rate limits, whether openWorld means live scraping of external TikTok data, or what pagination behavior to expect. It also does not clarify the tension between a 'search' operation and readOnlyHint=false.

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

Conciseness3/5

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

It is a single short sentence with no filler, which is structurally clean, but the brevity comes from under-specification rather than efficiency. Nothing is front-loaded because there is nothing substantive to front-load.

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?

For a seven-parameter search endpoint with no output schema and only two weak annotations, the description should at minimum explain what results look like and how pagination terminates. None of that is present, so an agent cannot confidently invoke or interpret the call from the definition.

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 seven parameters (country, keyword, category, sellerType, sort, page, pageSize) are already documented in the schema. The description adds no semantic meaning on top of that — no note on country code format expectations, sort field names, or the pageSize maximum of 10 — so baseline 3 applies.

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 description restates the name and title almost verbatim ('TikTok Commerce Intelligence CJ: sellers/search API') without saying what a seller search actually returns or how it differs from sibling endpoints such as nexscope_data_cj_sellers_detail, nexscope_data_cj_sellers_rankings_top_selling, or nexscope_data_cj_sellers_related_products. It is a label, not a description of a verb-plus-resource operation an agent can reason about.

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 statement of when to use this tool versus any alternative. With at least five sibling CJ seller endpoints in the toolset, the absence of any routing guidance (e.g., 'use this to discover sellers, then call sellers_detail for a store') leaves the agent to guess from names alone.

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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