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List TikTok Shop product reviews

tiktok_product_reviews_list
Read-only

List buyer reviews for a TikTok Shop product by product id. Returns a list (use cursor when paginated).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoPublic TikTok Shop product detail page URL for the product whose reviews should be listed.
pageNo1-based review page number. Omit to request the first page.
regionNoOptional country or region code for the product review catalog. When omitted, the default catalog region applies.
productIdNoTikTok Shop product identifier. Provide this instead of `url` when you already know the product id.

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already provide readOnlyHint/openWorldHint, so the safety profile is covered. The description adds useful behavioral context: it returns a list and mentions pagination. However, the phrase 'use cursor when paginated' is not matched by any `cursor` parameter in the schema, and the actual `page` parameter is never acknowledged, creating a slight transparency gap.

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

Conciseness5/5

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

The description is one tight sentence that front-loads the core purpose and immediately signals return type and pagination. There is no filler or repetition of the title.

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?

For a simple read-only list operation with well-documented parameters, the description is mostly adequate. However, it omits the practical need to provide either `url` or `productId` despite zero required params, and the pagination reference conflicts with the schema's `page` parameter. The lack of an output schema is partially compensated by 'Returns a list'.

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 the schema already explains `url`, `page`, `region`, and `productId`. The description adds almost nothing beyond 'by product id', and it does not clarify the relationship or trade-off between `url` and `productId`. Baseline 3 is appropriate.

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

Purpose4/5

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

The description states a clear verb ('List'), resource ('buyer reviews'), and scope ('for a TikTok Shop product by product id'). It is distinguishable from siblings like tiktok_product_get, though it does not explicitly name or differentiate from alternatives. The slight ambiguity between 'by product id' and supporting a `url` param keeps it from a 5.

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?

No guidance is given about when to prefer this tool over other TikTok Shop or product-related tools, nor are any exclusions or alternatives mentioned. The intended use is only implied: when one needs buyer reviews for a product. There is no explicit routing signal.

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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TDQS

B3.4/5.0
Disambiguation5/5

Each tool is clearly scoped to a specific platform and action (e.g., facebook_post_get vs instagram_post_get). Descriptions explicitly differentiate similar tools across platforms, and within-a-platform tools like tiktok_search_videos_list vs tiktok_search_hashtag_list have clear disambiguation notes.

Naming Consistency5/5

All 167 tools follow a strict `platform_resource_action` pattern (e.g., youtube_video_comments_list). No mixing of styles—snake_case throughout, with consistent verb ordering (get, list, search, etc.).

Tool Count2/5

The server has 167 tools, which is far beyond the typical well-scoped range of 3-15. While the broad multi-platform scope justifies many tools, this extreme number makes the tool surface overwhelming and difficult for an agent to navigate efficiently.

Completeness4/5

The tool set covers a wide range of platforms and operations including profile retrieval, post/video fetching, comments, search, transcripts, and ad library access. Minor gaps exist (e.g., no Facebook events or LinkedIn messaging), but the surface is comprehensive for a read-only data aggregation use case.