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Nexscope Ecommerce Data MCP

Amazon Niche Intelligence JM: product Discovery API

nexscope_data_jm_product_discovery

Amazon Niche Intelligence JM: product Discovery API.

Input Schema

NameRequiredDescriptionDefault
pageNoPage number. Default `1`
keywordYesKeywords (required, and according to the selected country, translate the keywords into the language of the corresponding country)
pageSizeNoQuantity per page (10-100). Default `50`
priceMaxNoMaximum product price
priceMinNolowest product price
sortTypeNoSort by. Default `desc`. Optional values: `desc` (descending order), `asc` (ascending order)
fbaFeeMaxNoHighest FBA commission
fbaFeeMinNoMinimum FBA commission
sortFieldNoSort field. Default `purchasedClicksT360`. Optional values: `totalReviews` (total number of comments), `price` (price), `launchDate` (listing time), `clickCountT7` (7-day clicks), `clickCountT30` (30-day clicks), `clickCountT90` (90-day clicks), `clickConversionRate` (click-to-purchase conversion rate), `clickConversionRateComposite` (comprehensive click-to-purchase) conversion rate), `customerRating` (rating), `purchasedClicksT360` (360-day purchase volume), `clickCountGrowthT7` (weekly click growth rate), `clickCountGrowthT30` (monthly clicks Growth rate), `currentPrice` (current price), `fbaFee` (FBA commission), `shippingFee` (FBA freight), `gpm` (gross profit margin)
countryCodeNoFor countries, use the country abbreviation. Default `US`. Optional values: `US`, `JP`, `DE`
launchDateMaxNoThe maximum shelf time, the format is: `yyyyMMdd000000`
launchDateMinNoMinimum shelf time, the format is: `yyyyMMdd000000`
nicheCountMaxNoHighest number of market segments
nicheCountMinNoMinimum number of segments
sellerCountryNoSeller's country and region code. If multiple selections are made, separate them with commas, such as: `CN,US`
clickCountT7MaxNoHighest number of clicks per week
clickCountT7MinNoMinimum weekly clicks
totalReviewsMaxNoHighest number of comments
totalReviewsMinNoMinimum number of comments
clickCountT30MaxNoHighest monthly clicks
clickCountT30MinNoMinimum monthly clicks
customerRatingMaxNohighest rating
customerRatingMinNolowest rating
salesVolumeT360MaxNohighest annual sales volume
salesVolumeT360MinNoMinimum annual sales volume
grossProfitMarginMaxNoHighest gross profit margin
grossProfitMarginMinNoMinimum gross profit margin
clickCountGrowthT7MaxNoThe highest weekly click growth rate, the value range is 0-1, 0.1 means 10%
clickCountGrowthT7MinNoMinimum weekly click growth rate, the value range is 0-1, 0.1 means 10%
clickConversionRateMaxNoThe highest click-to-purchase conversion rate, the value range is 0-1, 0.1 means 10%
clickConversionRateMinNoMinimum click-to-purchase conversion rate, the value range is 0-1, 0.1 means 10%
clickCountGrowthT30MaxNoThe highest monthly click growth rate, the value range is 0-1, 0.1 means 10%
clickCountGrowthT30MinNoMinimum monthly click growth rate, the value range is 0-1, 0.1 means 10%
clickConversionRateCompositeMaxNoThe highest comprehensive conversion rate, the value range is 0-1, 0.1 means 10%
clickConversionRateCompositeMinNoMinimum comprehensive conversion rate, the value range is 0-1, 0.1 means 10%

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.1/5.0
Behavior2/5

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

Annotations declare readOnlyHint=false and openWorldHint=true, but the description explains neither. It does not say whether this is a live scrape or cached index, what the result set looks like, how pagination behaves across the 35 filter parameters, or why a search operation is flagged non-read-only. It adds no behavioral context beyond the annotations.

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?

One sentence that is a verbatim copy of the tool name and title. It is short but not concise in the useful sense — nothing is front-loaded because there is no content; it is under-specification rather than economy.

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?

A 35-parameter, single-required-param discovery tool with no output schema and only sparse annotations gets a nine-word description. Nothing tells the agent what a result record contains, what the country/keyword translation behavior means in practice, or how this differs from the many sibling Amazon search tools — the description is wholly inadequate for the tool's complexity.

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 itself documents page, pageSize, sortType, countryCode, and every min/max filter. The description contributes nothing on parameters, but per the high-coverage rule the schema carrying the burden earns a baseline 3.

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 verbatim ('Amazon Niche Intelligence JM: product Discovery API') without adding a verb or explaining what 'product discovery' actually returns or does. An agent can infer it is an Amazon product search endpoint, but nothing distinguishes it from the many sibling search tools such as nexscope_amazon_product_discovery or nexscope_amazon_broad_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 when-to-use guidance, no exclusions, and no mention of alternatives despite dozens of closely related Amazon discovery/niche tools in the sibling list. The only usage signal is the required 'keyword' parameter in the schema, which the description never references.

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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