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Nexscope Ecommerce Data MCP

TikTok Commerce Intelligence CJ: creators/related lives API

nexscope_data_cj_creators_related_lives

TikTok Commerce Intelligence CJ: creators/related lives 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

C2.2/5.0
Behavior2/5

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

Annotations declare openWorldHint=true and readOnlyHint=false, which actually raises a question (why a read-style lookup is not read-only) that the description never addresses. It adds no behavioral context such as permissions, rate limits, or result size. No contradiction, but no added value either.

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 a single short fragment with no front-loaded purpose statement, no verb, and no structure. Brevity here reflects under-specification rather than efficiency.

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 no output schema, the description carries the burden of explaining what is returned (livestream records, their fields, pagination behavior), and it does none of that. For a 4-parameter paginated lookup it is far too thin.

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 id, country, page and pageSize all documented in the schema, so the baseline of 3 applies. The description contributes nothing beyond that — it never explains, for example, what the 'Expert ID' corresponds to or how country affects results.

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/title almost verbatim ('creators/related lives API') without a verb or explanation of what the call actually returns. It hints at the domain (related livestreams for a creator) but a reader gains no more than what the name already implies, and nothing distinguishes it from nexscope_data_cj_creators_related_videos or nexscope_data_cj_creators_related_products.

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 guidance on when to use this tool, no prerequisites, and no reference to alternatives such as creators_detail or lives_detail. The agent must infer usage entirely from the name.

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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