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Nexscope Ecommerce Data MCP

TikTok Commerce Intelligence CJ: creators/related videos API

nexscope_data_cj_creators_related_videos

TikTok Commerce Intelligence CJ: creators/related videos API.

Input Schema

NameRequiredDescriptionDefault
idYesExpert ID
pageNoPage number, minimum 1
countryYesLower case country code
pageSizeNoNumber per page, maximum 10

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

D1.7/5.0
Behavior1/5

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

Annotations only supply readOnlyHint=false and openWorldHint=true, and the description adds nothing beyond them — no disclosure of what a 'related videos' response contains, pagination limits, or the semantics of the required expert id. For an open-world data-retrieval endpoint whose readOnlyHint is counterintuitively false, this silence leaves the agent with no behavioral grounding.

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?

It is short, but the brevity comes from under-specification rather than efficiency — a single sentence that duplicates the title verbatim and front-loads nothing actionable. No wasted words, but also almost no content.

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

Completeness1/5

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

With four parameters, two of them required, no output schema, and only a sparse annotation set, the description should explain what the call returns and the meaning of the 'Expert ID' identifier. It does none of this, so an agent cannot confidently determine results or limits 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 every parameter (id as 'Expert ID', country as 'Lower case country code', page, pageSize with max 10) is already documented in the schema, making a baseline 3 appropriate. The description itself contributes no additional parameter meaning, but it is not required to.

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 tool name and title ('TikTok Commerce Intelligence CJ: creators/related videos API') without stating a verb, scope, or what a caller actually obtains. It signals the resource (related videos for a creator) but is essentially a tautology of the identifier, offering no differentiation from siblings like nexscope_data_cj_creators_detail or nexscope_data_cj_videos_search.

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 on when to use this tool versus alternatives. Nothing explains that it returns videos authored by a specific creator, nor when to prefer it over nexscope_data_cj_creators_related_products, nexscope_data_cj_creators_related_lives, or nexscope_tiktok_video_search.

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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