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Nexscope Ecommerce Data MCP

Amazon Search By Image

nexscope_amazon_search_by_image

Perform image-based visual product search on Amazon across 8 marketplaces. Use an image URL to find visually similar products, with optional Nexscope enrichment for sales data. Triggered when users mention Amazon image search, Amazon visual search, find similar products on Amazon, reverse image lookup Amazon, Amazon search by photo, or competitor image search. Even if the user does not explicitly mention "image search," this skill should be triggered whenever a user provides an image URL and wants to find visually matching or similar products on Amazon.

Input Schema

NameRequiredDescriptionDefault
sortNoSort by price, rating, or rating count. Values: default, price-asc-rank, price-desc-rank, rating-asc-rank, rating-desc-rank, ratings-asc-rank, and ratings-desc-rank
imageUrlYesValid, publicly accessible image URL (maximum 1,000 characters)
deliveryZipNoDelivery postal code or city within the selected marketplace. If omitted, the marketplace default is used. Maximum 1,000 characters. Defaults: United States=10001, United Kingdom=EC1A 1BB, Germany=10115, France=75001, Italy=00100, Spain=28001, Japan=100-0001, and India=110034
amazonDomainYesAmazon marketplace. Supported domains: United States (amazon.com), United Kingdom (amazon.co.uk), Germany (amazon.de), France (amazon.fr), Italy (amazon.it), Spain (amazon.es), Japan (amazon.co.jp), and India (amazon.in). Default: amazon.com
countryOrAreaCodeNoDestination country or region code for cross-border delivery, such as CN, JP, KR, TW, HK, MO, SG, TH, VN, PH, or MY. Do not provide this together with deliveryZip. Amazon India does not support cross-border destination settings. Maximum 1,000 characters
aggregateByKeepaDataNoWhether to enrich results with Nexscope data such as sales rank, monthly sales, FBA fees, and dimensions

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations declare readOnlyHint=false and openWorldHint=true; the description mentions the optional Nexscope enrichment but never explains why a search tool is flagged non-read-only, nor result volume, pagination, or cost/latency. It adds marketplace scope and the enrichment concept, but leaves the mutation-adjacent annotation unexplained.

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?

Purpose is front-loaded in the first sentence, followed by the enrichment note and the trigger list. The trigger enumeration is long but functional for tool selection; only minor trimming would improve it.

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?

Six fully-documented parameters, annotations, and no output schema mean the description's main remaining gaps are return shape and result-set size. It adequately covers scope, enrichment, and invocation triggers for an agent to call it correctly.

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 coverage is 100%, so parameters are already documented. The description reinforces only two of them ('use an image URL', '8 marketplaces', 'optional Nexscope enrichment') and says nothing about sort, deliveryZip, or countryOrAreaCode, so it adds little beyond the schema baseline.

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 and resource — image-based visual product search on Amazon — and adds scope ('across 8 marketplaces') plus the enrichment angle. It distinguishes itself from keyword siblings like nexscope_amazon_search by the word 'image', though it never names an alternative explicitly.

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

Usage Guidelines5/5

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

Enumerates concrete trigger phrases ('Amazon image search', 'reverse image lookup Amazon', 'Amazon search by photo') and then broadens the rule: trigger whenever an image URL plus a want for visually matching products appears. This is explicit when-to-use guidance with an explicit fallback case.

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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