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TikTok Shop User Showcase

social_tiktok_user_showcase
Read-only

Fetches products featured in a TikTok user's public showcase — the products a creator promotes on their profile. Returns an array of product objects each with title, price, images, and shop details. Use POST request if pagination is cutting off too early. Just send the query params in the body. Gets public user's showcase products Completed lookups cost at least 10 Nexscope credits. Actual cost depends on the operation and requested options. Repeated requests may purchase data again. TikTok Shop User Showcase API View Pricing Get products from a TikTok user's public showcase. 1 credit per request Actual supplier units are reported per request. Examples are not guaranteed prices.

Input Schema

NameRequiredDescriptionDefault
cursorNoThe cursor to the next page of products
handleYesThe handle of the user
regionNoRegion to put the proxy in. Non-US TikTok Shop regions are not reliable right now and may return limited or inconsistent showcase data. Sorry for the inconvenience.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already establish read-only, open-world, non-destructive behavior, while the description adds return shape, pagination guidance, and credit-charging cautions. However, the cost statements conflict ('at least 10 Nexscope credits' versus '1 credit per request'), and the POST instruction is ambiguous, reducing reliability.

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?

The opening sentence is clear, but the text repeats 'Gets public user's showcase products,' includes fragmented pricing boilerplate, and contains contradictory credit statements. It is bloated rather than front-loaded with actionable information.

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 three-parameter read tool, the description covers purpose, return fields, pagination, and cost considerations. Still, conflicting pricing details and the ambiguous POST instruction keep it from being fully complete.

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 handle, cursor, and region are already documented in the schema. The description only says to send query params in the body and does not add meaning beyond the structured parameter documentation.

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 specific verb ('Fetches') and resource ('products featured in a TikTok user's public showcase'), clearly scoping it to a creator's profile. It distinguishes the tool from generic TikTok product tools, though it does not explicitly name a sibling alternative.

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 explicit when-to-use guidance versus siblings such as social_tiktok_shop_products, social_tiktok_product, or creator-related tools. The only procedural guidance is an edge-case pagination workaround; normal usage context, prerequisites, and exclusions are absent.

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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