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Nexscope Ecommerce Data MCP

Amazon Public Marketplace Data: alexa Search API

nexscope_data_amazon_alexa_search

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

C2/5.0
Behavior2/5

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

Annotations declare readOnlyHint=false and openWorldHint=true, which the description neither confirms nor explains — notably why a 'search' tool is flagged as non-read-only. The description adds no behavioral context such as rate limits, cost, or what the Alexa page context entails.

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 only one short sentence with zero waste, but it is under-specified rather than concise — the brevity comes from saying nothing, not from editing down useful content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with three parameters, a non-default readOnlyHint=false, an open-world hint, and no output schema, the description should explain what a call actually returns and what the Alexa context means. None of that is present, leaving the agent reliant entirely on structured fields.

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 schema already documents `url`, `format`, and `prompts` in detail, including the single-prompt limitation and the note not to pass the homepage URL. The description adds nothing on parameters, but the baseline of 3 applies when the schema carries the semantics.

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 "Amazon Public Marketplace Data: alexa Search API" restates the name and title rather than describing what the tool does. It hints at an Amazon search over an 'Alexa' surface but gives no verb+resource specificity, so an agent cannot tell it apart from siblings such as nexscope_amazon_search or nexscope_amazon_alexa_search.

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 what alternatives exist. Given dozens of near-identical Amazon search siblings, the absence of any routing guidance is a critical gap.

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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