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Nexscope Ecommerce Data MCP

Amazon History KP: product Series API

nexscope_data_kp_product_series

Amazon History KP: product Series API.

Input Schema

NameRequiredDescriptionDefault
asinYesAmazon Standard Identification Number (ASIN), only supports a single ASIN, the maximum length is 1000.
daysNoLimit the number of days of historical data to a maximum of `365`.
domainYesamazon domain name ID: `1` (USA), `2` (UK), `3` (Germany), `4` (France), `5` (Japan), `6` (Canada), `8` (Italy), `9` (Spain), `10` (India), `11` (Mexico), `12` (Brazil).
showPriceNoSet to `1` to return the lowest new product price curve in the market.
showBsrMainNoSet to `1` to return the large class of BSR curves.
showPriceFbaNoSet to `1` to return the third-party FBA new product price curve.
showPriceFbmNoSet to `1` to return the third-party FBM new product price curve.
showPriceDealNoSet to `1` to return the flash sale price curve.
showPriceListNoSet to `1` to return the strike/mark curve.
showPricePrimeNoSet to `1` to return Prime exclusive new product price curve.
showPriceCouponNoSet to `1` Returns the post-coupon Buy Box price curve.
showSellerCountNoSet to `1` to return the seller number curve.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

D1.9/5.0
Behavior1/5

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

The description adds nothing beyond the title. Annotations declare readOnlyHint=false and openWorldHint=true, but the description does not clarify what kind of operation this really is, whether it mutates state, what permissions are needed, or what data is returned.

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 single sentence is concise but under-specified: it merely repeats the title and provides no useful structure or detail. Every sentence should earn its place, and this one does not.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 12-parameter data retrieval tool with no output schema, the description is completely inadequate. It gives no context about returned data, parameter interactions, or how this differs from other Amazon history/price 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 the schema already explains all 12 parameters in detail. The description adds no parameter semantics, which is acceptable given full schema coverage but earns only the baseline.

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 restates the title 'Amazon History KP: product Series API' without a verb or clear explanation of what the tool does. It does not distinguish this tool from close siblings such as nexscope_amazon_product_history, nexscope_amazon_product_price_series, or nexscope_data_kp_product_search.

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 use this tool versus alternatives, no prerequisites, and no exclusions. The agent is left to infer usage entirely from the name and schema.

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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