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Amazon Market Research

nexscope_amazon_market_research
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Use Nexscope market list capability to filter Amazon niche markets by category dimensions, supporting market size, competition, top concentration, seller structure, new product share, price/rating/margin ranges, and many other criteria for discovering viable markets and evaluating product selection directions. Trigger when the user mentions Amazon market research, niche category research, market opportunity screening, market concentration analysis, new product opportunities, market selection, Nexscope market research, category market research. Even if the user does not explicitly mention "Nexscope", if the need is to screen and evaluate Amazon markets by category dimensions, this skill should also be triggered.

Input Schema

NameRequiredDescriptionDefault
pageNoPage number, starting from 1
sizeNoResults per page
monthNoFilter date: nearly or yyyyMM
topNumNoTop Listing count
maxAvgBsrNoMinimum / maximum average BSR rank
maxBrandsNoMinimum / maximum brand count
maxVolumeNoMinimum / maximum volume
maxWeightNoMinimum / maximum weight
minAvgBsrNoMinimum / maximum average BSR rank
minBrandsNoMinimum / maximum brand count
minVolumeNoMinimum / maximum volume
minWeightNoMinimum / maximum weight
orderDescNotrue descending, false ascending
maxSellersNoMinimum / maximum seller count
minSellersNoMinimum / maximum seller count
newProductNoNew product definition (months)
nodeIdPathNoCategory node ID path, e.g. 172282:281407
orderFieldNoSort field, see [orderField](#orderfield-options)
marketplaceYesSite code, see [marketplace](#marketplace-options)
maxAvgPriceNoMinimum / maximum average price
maxAvgUnitsNoMinimum / maximum average monthly sales volume
maxBrandCrnNoMinimum / maximum brand concentration (decimal 0-1)
maxGoodsCrnNoMinimum / maximum product concentration (decimal 0-1)
maxNewCountNoMinimum / maximum new product count
minAvgPriceNoMinimum / maximum average price
minAvgUnitsNoMinimum / maximum average monthly sales volume
minBrandCrnNoMinimum / maximum brand concentration (decimal 0-1)
minGoodsCrnNoMinimum / maximum product concentration (decimal 0-1)
minNewCountNoMinimum / maximum new product count
maxAvgProfitNoMinimum / maximum average gross margin (input N means N%, 0-100)
maxAvgRatingNoMinimum / maximum average rating value
maxSellerCrnNoMinimum / maximum seller concentration (decimal 0-1)
maxTopAvgBsrNoMinimum / maximum top listing average BSR
minAvgProfitNoMinimum / maximum average gross margin (input N means N%, 0-100)
minAvgRatingNoMinimum / maximum average rating value
minSellerCrnNoMinimum / maximum seller concentration (decimal 0-1)
minTopAvgBsrNoMinimum / maximum top listing average BSR
maxAvgRatingsNoMinimum / maximum average review count
maxAvgRevenueNoMinimum / maximum average monthly sales revenue
maxAvgSellersNoMinimum / maximum average seller count
maxGoodsCountNoMinimum / maximum product count
minAvgRatingsNoMinimum / maximum average review count
minAvgRevenueNoMinimum / maximum average monthly sales revenue
minAvgSellersNoMinimum / maximum average seller count
minGoodsCountNoMinimum / maximum product count
maxNewAvgPriceNoMinimum / maximum new product average price
maxNewAvgUnitsNoMinimum / maximum new product average monthly sales
maxTopAvgUnitsNoMinimum / maximum top listing average monthly sales
minNewAvgPriceNoMinimum / maximum new product average price
minNewAvgUnitsNoMinimum / maximum new product average monthly sales
minTopAvgUnitsNoMinimum / maximum top listing average monthly sales
sellerLocationNoSeller location, multiple values comma-separated; see Nexscope table 1.3 for values
maxNewAvgRatingNoMinimum / maximum new product average star rating
minNewAvgRatingNoMinimum / maximum new product average star rating
maxEbcProportionNoMinimum / maximum A+ share (decimal 0-1)
maxFbaProportionNoMinimum / maximum FBA share (decimal 0-1)
maxFbmProportionNoMinimum / maximum FBM share (decimal 0-1)
maxNewAvgRatingsNoMinimum / maximum new product average review count
maxNewAvgRevenueNoMinimum / maximum new product average monthly revenue
maxNewProportionNoMinimum / maximum new product share (scale may differ from other ratio fields; refer to tool schema / actual network behavior)
maxTopAvgRevenueNoMinimum / maximum top listing average monthly revenue
minEbcProportionNoMinimum / maximum A+ share (decimal 0-1)
minFbaProportionNoMinimum / maximum FBA share (decimal 0-1)
minFbmProportionNoMinimum / maximum FBM share (decimal 0-1)
minNewAvgRatingsNoMinimum / maximum new product average review count
minNewAvgRevenueNoMinimum / maximum new product average monthly revenue
minNewProportionNoMinimum / maximum new product share (scale may differ from other ratio fields; refer to tool schema / actual network behavior)
minTopAvgRevenueNoMinimum / maximum top listing average monthly revenue
departmentKeywordNoCategory keyword path, e.g. Electronics:Accessories & Supplies
maxAmazonSelfProportionNoMinimum / maximum Amazon self-operated share (decimal 0-1)
minAmazonSelfProportionNoMinimum / maximum Amazon self-operated share (decimal 0-1)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, and destructiveHint=false, so safety is covered. The description adds that this is a filtering/list capability consistent with those hints, but does not disclose pagination behavior, data freshness, rate limits, or output format beyond what annotations provide.

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

Conciseness4/5

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

The first sentence front-loads the purpose and supported metrics. Subsequent sentences list trigger keywords, which are slightly verbose but serve discoverability. Overall efficient with minimal waste.

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

Completeness4/5

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

For a 71-parameter tool with no output schema, the description covers the core purpose and use cases sufficiently. It needn't explain return values given the schema handles parameters, but it could note the response structure or pagination behavior. Still adequate for an agent to understand when and how to call it.

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 all 71 parameters are fully documented in the schema. The description groups filter categories (price/rating/margin ranges, new product share, etc.) but adds no syntax or format details beyond what the schema already provides. Baseline 3 is appropriate when schema does the heavy lifting.

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?

States a specific verb ('filter') and resource ('Amazon niche markets by category dimensions') and lists supported metrics (market size, competition, seller structure, etc.). Clearly scoped to market-level filtering, though it does not explicitly differentiate from similar siblings like nexscope_amazon_opportunity_search_by_metrics or nexscope_amazon_niche_info.

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?

Provides explicit trigger conditions and use cases ('Trigger when the user mentions Amazon market research, niche category research, market opportunity screening...') and clarifies it applies even without the 'Nexscope' keyword. However, it offers no when-not-to-use guidance or alternative tool recommendations.

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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