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TikTok Intelligence ET: batch Product Detail API

nexscope_data_et_batch_product_detail
Read-only

TikTok Intelligence ET: batch Product Detail API.

Input Schema

NameRequiredDescriptionDefault
productIdsNoList of product IDs (up to 1000). Example: `["1729382310407603945", "1729382310407603946"]`
productUrlsNoProduct URL list (up to 1000), in the shape of `https://shop.tiktok.com/us/pdp/<slug>/<productId>?...`; the backend will extract the `productId` at the end from each URL and merge it into `productIds`, which is not mutually exclusive with `productIds`

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, destructiveHint=false, so the safety profile is covered by structured data. The description contributes nothing beyond that: no mention of the 1000-item batch limit, partial-failure behavior, rate limits, or what a batched response looks like when some IDs are invalid.

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 sentence with no filler, but its brevity is under-specification rather than efficiency — there is no front-loaded statement of what the tool returns or when to reach for it.

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 and a batch-oriented tool, the description should at minimum explain that it returns detail records for the supplied products and how batching behaves. Neither is present, so an agent has to reconstruct intent from the name and schema alone.

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% and both parameters (productIds, productUrls) are documented in the schema, including the URL-to-ID extraction and merge behavior. The description adds no parameter meaning of its own, so the baseline 3 applies.

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 is essentially a restatement of the tool name and title: 'TikTok Intelligence ET: batch Product Detail API.' It implies retrieving details for multiple TikTok Shop products, but adds no verb+resource phrasing beyond the label and does not distinguish it from siblings such as nexscope_tiktok_batch_product_detail, nexscope_chuhaijiang_tiktok_product_detail, or nexscope_data_et_list_product.

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 when-to-use guidance, no prerequisites, no exclusions, and no named alternative. An agent cannot tell from the description whether this is the right call versus the many other TikTok product-detail siblings, and must infer everything 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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