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Nexscope Ecommerce Data MCP

Amazon Product Database Search

nexscope_amazon_product_database_search

Advanced Amazon product search and filtering powered by Nexscope data, supporting multi-dimensional criteria including category, price, monthly sales, keywords, BSR rank, review count, rating, package dimensions, weight, fulfillment type, and more. Trigger when users mention Nexscope product selection, Amazon product search, advanced product selection, BSR filtering, sales rank filtering, keyword-based product discovery, category search, competitor screening, niche product discovery, historical rank filtering, or similar terms. Even if the user does not explicitly mention "Nexscope," trigger this skill whenever the request involves multi-criteria Amazon product search, sales-metric-based filtering, or advanced product selection beyond simple keyword search.

Input Schema

NameRequiredDescriptionDefault
pageNoPage number (starting from 1, default 1)
sizeNoSize (OR match), filter products with specified sizes
sortNoUp to 3 sort rules, each with fieldName and sortDirection (asc or desc); supported fields: availableDate, currentSales, monthlySold, currentRating, currentCountReviews, currentBuyBoxShipping, currentNew
brandNoBrand (OR match)
colorNoColor (OR match), filter products with specified colors
domainYesAmazon domain ID: 1=United States, 2=United Kingdom, 3=Germany, 4=France, 5=Japan, 6=Canada, 8=Italy, 9=Spain, 10=India, 11=Mexico
ratingNoWhether to fetch rating info (1=fetch, 0=do not fetch, default 1)
historyNoWhether to include historical data / historical sales in the response (1=include, 0=exclude, default 0)
keywordNoTitle keyword (case-insensitive; spaces mean AND tokenization; wrap keywords containing spaces in double quotes; prefix - for exclusion; & symbol is replaced with space; up to 50 keywords, max 1000 characters)
perPageNoMaximum results per page (min 50, max 100, default 50)
isHazMatNoWhether it is hazardous material
srAvgGteNoHistorical sales rank range (positive integer, lower value = better ranking, used for the month specified by srAvgMonth) (lower bound)
srAvgLteNoHistorical sales rank range (positive integer, lower value = better ranking, used for the month specified by srAvgMonth) (upper bound)
srAvgMonthNoHistorical sales rank - selected month (format: YYYYMM, e.g., 202511 for November 2025, within the last 36 months)
buyBoxIsFBANoWhether the Buy Box is FBA
productTypeNoProduct type filter (default [0,1,2]): 0=standard product, 1=downloadable product, 2=eBook, 5=variant parent ASIN
rootCategoryNoRoot category IDs (up to 50), only include products in these root categories
avg90SalesGteNo90-day average sales rank range (lower bound)
avg90SalesLteNo90-day average sales rank range (upper bound)
currentNewGteNoCurrent new price range (in minor currency unit) (lower bound)
currentNewLteNoCurrent new price range (in minor currency unit) (upper bound)
buyBoxIsAmazonNoWhether the Buy Box seller is Amazon
monthlySoldGteNoUnits sold / monthly sales range (lower bound)
monthlySoldLteNoUnits sold / monthly sales range (upper bound)
currentSalesGteNoCurrent sales rank range (lower value = better ranking) (lower bound)
currentSalesLteNoCurrent sales rank range (lower value = better ranking) (upper bound)
packageWidthGteNoPackage width range (mm) (lower bound)
packageWidthLteNoPackage width range (mm) (upper bound)
singleVariationNoReturn only one variation; when set to true, multi-variation products will only return one variation
availableDateGteNoProduct listing time range (date format: yyyy-MM-dd) (lower bound)
availableDateLteNoProduct listing time range (date format: yyyy-MM-dd) (upper bound)
currentRatingGteNoCurrent rating range (0.0-5.0) (lower bound)
currentRatingLteNoCurrent rating range (0.0-5.0) (upper bound)
packageHeightGteNoPackage height range (mm) (lower bound)
packageHeightLteNoPackage height range (mm) (upper bound)
packageLengthGteNoPackage length range (mm) (lower bound)
packageLengthLteNoPackage length range (mm) (upper bound)
packageWeightGteNoPackage weight range (grams) (lower bound)
packageWeightLteNoPackage weight range (grams) (upper bound)
categoriesExcludeNoSubcategory IDs to exclude (up to 50)
categoriesIncludeNoSubcategory IDs to include only (up to 50), only include products directly listed in these subcategories
rootCategoryNamesNoRoot category names (up to 50), used when rootCategory is empty; the system automatically looks up corresponding category IDs
variationCountGteNoVariation count range (lower bound)
variationCountLteNoVariation count range (upper bound)
currentCountNewGteNoCurrent new offer count range (lower bound)
currentCountNewLteNoCurrent new offer count range (upper bound)
categoriesExcludeNamesNoSubcategory names to exclude (up to 50), used when categoriesExclude is empty; the system automatically looks up corresponding category IDs. Supports full category paths for more accurate results
categoriesIncludeNamesNoSubcategory names to include (up to 50), used when categoriesInclude is empty; the system automatically looks up corresponding category IDs. Supports full category paths (separated by : or >) for more accurate results
currentCountReviewsGteNoCurrent review count range (lower bound)
currentCountReviewsLteNoCurrent review count range (upper bound)
deltaPercent90SalesGteNo90-day sales rank change percentage range (lower bound)
deltaPercent90SalesLteNo90-day sales rank change percentage range (upper bound)
currentBuyBoxShippingGteNoCurrent Buy Box price with shipping range (in minor currency unit) (lower bound)
currentBuyBoxShippingLteNoCurrent Buy Box price with shipping range (in minor currency unit) (upper bound)
outOfStockPercentage90GteNo90-day out-of-stock percentage range (lower bound)
outOfStockPercentage90LteNo90-day out-of-stock percentage range (upper bound)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior2/5

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

Annotations are minimal (readOnlyHint=false, openWorldHint=true) and the description adds no behavior: it does not say how results are paged or capped, what the response looks like, whether historical data costs more, or why a search would be non-read-only. It also does not flag that 'domain' is mandatory, which is the single biggest call-time constraint for a 56-parameter tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Purpose is front-loaded in the first sentence, which is good, but the trigger list is keyword-stuffed and redundant ('BSR filtering, sales rank filtering', 'advanced product selection' appearing twice in different phrasings). Roughly a third of the text restates the same intent.

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?

Purpose and triggering are adequately covered and the schema is fully described, so the remaining burden is behavioral — pagination limits, result volume, and the meaning of history/rating toggles. None of that is addressed, and with no output schema the agent has no other place to learn what comes back.

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 documents every parameter including ranges, units, and domain codes. The description's criteria list (category, price, monthly sales, BSR, review count, rating, dimensions, weight, fulfillment) maps onto parameters but adds no syntax, defaults, or combination rules beyond the schema. Baseline 3 applies.

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 gives a specific verb and resource (advanced Amazon product search and filtering over Nexscope data) and enumerates the filterable dimensions, so the agent knows exactly what the tool returns. It does not, however, distinguish this from siblings such as nexscope_amazon_broad_product_search, nexscope_amazon_market_product_search, or nexscope_amazon_product_discovery, which read as near-identical capabilities.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Extensive trigger guidance is supplied ('Trigger when users mention ... BSR filtering, sales rank filtering, keyword-based product discovery ...') plus an explicit instruction to fire even when 'Nexscope' is not named. The phrase 'beyond simple keyword search' implicitly excludes basic lookups but no alternative tool is named, so the agent must still guess which sibling to fall back to.

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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