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Amazon History KP: product Series API

nexscope_data_kp_product_series
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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
Behavior2/5

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

Annotations already state readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered without the description. The description adds nothing beyond that — no note on data freshness, granularity of the historical series, coverage limits, or cost/latency for wide date ranges. It does not contradict the annotations, but it contributes zero behavioral context.

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 short, but shortness here is under-specification rather than concision — a single restated title with no front-loaded explanation of what the call yields. There is no wasted sentence because there is effectively only one sentence, and it earns little.

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?

This is a 12-parameter historical time-series tool with no output schema, and the description says nothing about the shape of the returned curves, how the show* flags combine, or what happens with the default 90-day window. Given the complexity and the absence of any output documentation, the description is completely inadequate.

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%: the schema itself documents asin, domain ID mapping, the days cap of 365, and each show* toggle's meaning. Per the rubric this sets a baseline of 3 even with no parameter discussion in the description, which is exactly the case here — the description mentions no parameter at all.

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 the tool name/title restated: 'Amazon History KP: product Series API.' It names a resource ('product series') and a vague domain ('Amazon History KP'), but supplies no verb describing what is actually fetched or returned. It is a tautology rather than an explanation, and it does not distinguish itself from overlapping siblings such as nexscope_amazon_product_history or nexscope_amazon_product_price_series.

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 guidance whatsoever about when to use this tool, when not to, or which sibling to prefer. With ~12 parameters covering historical price, BSR, seller-count and deal curves, the absence of any routing signal against the many history/price-series siblings is a real gap.

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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