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Amazon Public Marketplace Data: alexa Search API

nexscope_data_amazon_alexa_search
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Amazon Public Marketplace Data: alexa Search API.

Input Schema

NameRequiredDescriptionDefault
urlNoA specific category page, search results page, or product detail page URL that is used to supplement the Alexa page context; do not pass the Amazon homepage URL.
formatNoResponse format: `markdown` returns a readable report; `json` returns a structured data array.markdown
promptsYesAn array of dialogue prompts with a length within 255 characters, only 1 is supported; only 1 question can be passed in for each call. When asking across times, the agent needs to summarize the context of the previous round and pass it in as a new `prompts[0]`.

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, openWorldHint=true and destructiveHint=false, so the safety profile is covered externally. The description adds nothing beyond that — no hint about the conversational/dialogue nature of the API, what an 'Alexa page context' means, or what the supplementing `url` does behaviorally.

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 one short sentence, so there is no bloat — but the sentence is a title echo that carries no information, which is under-specification rather than conciseness. Nothing is front-loaded because there is nothing to front-load.

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?

With no output schema and a non-obvious multi-turn 'dialogue prompts' contract (only one question per call, context carry-over), the description should explain what the tool returns and how to chain calls. It explains none of that, leaving an agent unable to predict the response shape or the interaction model.

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 the baseline is 3 regardless. The description adds no extra meaning to `prompts`, `url`, or `format`; it merely re-labels the tool as an 'alexa Search API'.

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: alexa Search API' names no verb, no resource artifact (products? keywords? results?), and no scope. In a sibling set containing nexscope_amazon_search, nexscope_amazon_market_product_search, nexscope_amazon_broad_product_search and dozens more Amazon tools, this gives an agent no basis for choosing it.

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 when-to-use guidance, no exclusion of alternatives, and no mention of how it differs from the many other Amazon search siblings. The only routing signal an agent has is the word 'alexa', which is not explained.

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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