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Nexscope Ecommerce Data MCP

Amazon Related Asins

nexscope_amazon_related_asins

Find Amazon same-niche competitors by ASIN, with multi-dimensional filtering by click conversion rate, composite conversion rate, click volume, sales volume, reviews, ratings, price, and gross margin to identify potential competitors. Triggered when users mention same-niche competitors, ASIN competitor mining, niche competitor analysis, similar product benchmarking, ASIN benchmarking, niche market competitor list, high-conversion competitor screening, Nexscope product mining, niche competitor by ASIN, ASIN competitor analysis, same niche products, similar products discovery, conversion rate comparison, potential competitor screening, Nexscope ASIN mining. Even if users do not explicitly mention "niche" or "same niche", this skill should be triggered whenever the task involves discovering competitor lists or screening potential competitors based on a specific ASIN within the same market segment.

Input Schema

NameRequiredDescriptionDefault
asinYesReference ASIN, used to query competitor listings that belong to the same niche as this ASIN, max length 1000 characters
pageNoPage number (starting from 1)
pageSizeNoItems returned per page (10-100)
priceMaxNoMaximum product price
priceMinNoMinimum product price
sortTypeNoSort direction: desc (descending) or asc (ascending)
fbaFeeMaxNoMaximum FBA fee
fbaFeeMinNoMinimum FBA fee
sortFieldNoSort field (see sort options below)
countryCodeNoCountry code, options: US (United States), JP (Japan), DE (Germany)
launchDateMaxNoLatest listing time, format yyyyMMdd000000
launchDateMinNoEarliest listing time, format yyyyMMdd000000
nicheCountMaxNoMaximum number of niche markets
nicheCountMinNoMinimum number of niche markets
sellerCountryNoSeller country code, comma-separated for multiple countries, e.g.: CN,US
clickCountT7MaxNoMaximum weekly click count
clickCountT7MinNoMinimum weekly click count
totalReviewsMaxNoMaximum review count
totalReviewsMinNoMinimum review count
clickCountT30MaxNoMaximum monthly click count
clickCountT30MinNoMinimum monthly click count
customerRatingMaxNoMaximum rating, range 0.0-5.0
customerRatingMinNoMinimum rating, range 0.0-5.0
salesVolumeT360MaxNoMaximum annual sales volume
salesVolumeT360MinNoMinimum annual sales volume
grossProfitMarginMaxNoMaximum gross profit margin
grossProfitMarginMinNoMinimum gross profit margin
clickCountGrowthT7MaxNoMaximum weekly click growth rate, range 0-1, e.g., 0.1 means 10%
clickCountGrowthT7MinNoMinimum weekly click growth rate, range 0-1, e.g., 0.1 means 10%
clickConversionRateMaxNoMaximum click conversion rate, range 0-1, e.g., 0.1 means 10%
clickConversionRateMinNoMinimum click conversion rate, range 0-1, e.g., 0.1 means 10%
clickCountGrowthT30MaxNoMaximum monthly click growth rate, range 0-1, e.g., 0.1 means 10%
clickCountGrowthT30MinNoMinimum monthly click growth rate, range 0-1, e.g., 0.1 means 10%
clickConversionRateCompositeMaxNoMaximum composite click conversion rate, range 0-1, e.g., 0.1 means 10%
clickConversionRateCompositeMinNoMinimum composite click conversion rate, range 0-1, e.g., 0.1 means 10%

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations declare readOnlyHint=false and openWorldHint=true, so the description isn't fully burdened, but the retrieval wording ('Find', 'identify') sits uneasily with a non-read-only hint and the description never addresses it. It does add useful substance by naming the filterable metrics (conversion rates, click volume, sales volume, margin), but says nothing about data freshness, country coverage, quotas, or pagination caps.

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 first sentence is well front-loaded, but it's followed by a ~15-item trigger keyword dump that repeats 'same-niche competitor' and 'ASIN' many times, then a final sentence restating the same trigger rule. Large portions are padded for keyword matching rather than to inform an agent.

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?

For a 35-parameter tool with no output schema, the description should indicate what a result row contains (ASIN plus metrics?) and how paging/sorting interacts with the filters. It hints at the metric set but never describes the response, and it says nothing about how the required reference ASIN defines the niche.

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% across all 35 parameters, so the schema already documents each field's meaning and range. The description lists filter categories that map loosely onto parameter families but adds no format, unit, or interaction guidance beyond what the schema states; 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 opening sentence gives a specific verb and resource: 'Find Amazon same-niche competitors by ASIN', and it enumerates the filterable dimensions. It doesn't name the nearest siblings (e.g., nexscope_amazon_competitor_lookup or nexscope_amazon_niche_info_by_asin), so an agent can't distinguish it from those without opening schemas.

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?

The long trigger list ('ASIN competitor mining', 'similar product benchmarking', 'high-conversion competitor screening') plus the explicit fallback ('Even if users do not explicitly mention "niche"... this skill should be triggered whenever...') gives clear positive conditions for use. There are no when-not-to-use conditions or named alternatives, which keeps it below a 5.

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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