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Nexscope Ecommerce Data MCP

TikTok Intelligence ET: batch Product Detail API

nexscope_data_et_batch_product_detail

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

C2.2/5.0
Behavior2/5

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

Annotations declare readOnlyHint=false and openWorldHint=true, yet the description supplies none of the context an agent needs: batch size limits (up to 1000), whether results are paginated, partial-failure behavior, or the fact that this is an external vendor call. It adds nothing beyond the structured annotations and title.

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?

One short sentence that duplicates the title is technically concise but is under-specification rather than economy, and there is no front-loaded useful information beyond the tool name.

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 no annotations explaining the result shape, the description should explain what a batch detail call returns and how partial results/errors are handled. It says none of this, leaving an agent unable to predict the response for a 1000-item batch call.

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%: both productIds and productUrls are fully documented, including the 1000-item cap, the URL shape, and the merge-into-productIds behavior. The description contributes no additional parameter meaning, 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 only restates the title: 'TikTok Intelligence ET: batch Product Detail API.' It implies a detail-fetch over TikTok products in batch, but adds no verb detail and gives no way to distinguish it from siblings such as nexscope_tiktok_batch_product_detail, nexscope_data_et_list_product, or nexscope_data_tiktok_shop_product_detail. This is effectively tautological.

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 when-to-use guidance is provided: it does not say when to prefer this batch endpoint over the single-product or list endpoints, nor any prerequisites. The schema's mention that productIds and productUrls are merged is the only usage hint, and that lives in the schema, not the description.

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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