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TikTok Shop Related Videos

nexscope_chuhaijiang_tiktok_shop_related_videos
Read-only

Provider business records for TikTok Shop Related Videos. Known row fields: id, tiktok_seller_detail_video_id, tiktok_seller_detail_video_desc, tiktok_seller_detail_video_play_count. Missing and null fields remain unchanged; monetary values retain their original unit and runtime type.

Input Schema

NameRequiredDescriptionDefault
idYesShop ID, preserved as a string.
pageNoPage number, starting at 1.
countryYesLowercase TikTok market code.
pageSizeNoMaximum records per page.

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?

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds useful beyond-schema context: rows are partial, missing/null fields are left unchanged rather than normalized, and monetary values keep their original unit and runtime type. It does not state how pagination behaves or whether results are sorted/bounded.

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?

Two tight sentences with the resource statement front-loaded and the caveats (null handling, unit/type preservation) following. The field list is dense but information-bearing; little waste.

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 description sensibly enumerates the known row fields, which is the main value-add. However it leaves gaps an agent would want: pagination/size limits behavior, whether more fields appear dynamically, and how it differs from sibling related-entity tools.

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 id (shop ID), country enum, page and pageSize are fully documented in the schema. The description adds nothing about parameters, which is acceptable at full coverage but earns only the baseline.

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 'Provider business records for TikTok Shop Related Videos' largely restates the title rather than adding a verb+resource framing an agent can act on. It does convey the entity (video records tied to a TikTok shop) and lists known row fields, but it never states the relation explicitly (videos related to the given shop ID) nor distinguishes it from siblings like shop_related_creators/products or creator_related_videos.

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 call this versus the many adjacent tools (shop_detail, shop_related_products, shop_related_creators, tiktok_video_detail, tiktok_video_search). No prerequisites, no note that a shop ID and market must be known first, no mention of pagination strategy.

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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