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Amazon Public Marketplace Data: search API

nexscope_data_amazon_search
Read-only

Amazon Public Marketplace Data: search API.

Input Schema

NameRequiredDescriptionDefault
nodeNoAmazon category node, maximum length 1000.
pageNoPage numbers, starting from 1, approximately 20 entries per page.
sortNo`relevanceblender`, `price-asc-rank`, `price-desc-rank`, `review-rank`, `date-desc-rank` or `exact-aware-popularity-rank`.relevanceblender
deviceNoDevice type: `desktop`, `mobile`, `tablet`, maximum length 1000.desktop
keywordNoSearch keywords, it is recommended to use the target site language, the maximum length is 1024.
languageNoLocale code, maximum length 1000, for example `en_US`, `de_DE`, `ja_JP`, `fr_FR`.
deliveryZipNoDelivery location zip code, used to simulate Amazon front desk address, maximum length 1000.
amazonDomainNoAmazon site: `amazon.com`, `amazon.co.uk`, `amazon.de`, `amazon.fr`, `amazon.it`, `amazon.es`, `amazon.co.jp`, `amazon.ca`, `amazon.com.au`, `amazon.com.br`, `amazon.in`. `amazon.nl`, `amazon.se`, `amazon.pl`, `amazon.sg`, `amazon.sa`, `amazon.ae`, `amazon.com.mx`, `amazon.com.tr`, `amazon.com.be`, `amazon.cn`, `amazon.eg`.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

D1.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered by structured data. The description adds nothing beyond that — no note about live scraping of Amazon storefronts, rate limits, geo/locale dependence, or result volatility that would matter for an open-world data pull.

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?

It is a single fragment with no waste, but that is under-specification rather than conciseness — there is nothing front-loaded because there is nothing substantive beyond the name. A one-line label cannot earn a high structure score.

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?

For an 8-parameter open-world search tool with no output schema and no required parameters, the description supplies none of the context needed to invoke it correctly — no explanation of what a result entry looks like, how node vs. keyword scope works, or why page/deliveryZip matter.

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 8 parameters, including enumerated sort values, domain list, and locale examples, so the schema carries the semantics. The description contributes no additional meaning or parameter interaction guidance, which lands at the baseline for full schema coverage.

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 is essentially a restatement of the title: 'Amazon Public Marketplace Data: search API.' It signals that a search against Amazon marketplace data occurs, but gives no resource-level detail beyond the title and does not distinguish it from the many sibling search tools (nexscope_amazon_search, nexscope_amazon_market_product_search, nexscope_amazon_broad_product_search, nexscope_amazon_product_database_search, etc.).

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

Usage Guidelines1/5

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

There is no guidance on when to use this tool, when not to, or which sibling to pick. With over a dozen Amazon search variants in the namespace, an agent cannot determine from this text why it would choose this one over nexscope_amazon_search or nexscope_amazon_market_product_search.

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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