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Amazon ABA & Business Insights: intelligent Query API

nexscope_data_aba_intelligent_query
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Amazon ABA & Business Insights: intelligent Query API.

Input Schema

NameRequiredDescriptionDefault
regionNoAmazon site code. Optional values: `US`, `DE`, `BR`, `CA`, `AU`, `JP`, `AE`, `ES`, `FR`, `IT`, `SA`, `TR`, `MX`, `SE`, `NL`.US
createDownloadUrlNoWhether to generate a CSV download link; set to `true` when explicitly required to download, export or generate files.
analysisDescriptionYesNatural language that accurately describes query intent.

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 safety is covered. The description adds nothing beyond that — it doesn't say what the natural-language query is interpreted against, what data categories exist, whether queries can be broad or must be narrow, or anything about result shape or limits.

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 short, but brevity here comes from under-specification rather than economy — the single sentence merely echoes the title. There is no front-loaded statement of capability, so nothing is gained by its length.

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?

This is a free-text, open-world query tool with no output schema, and the description does not explain what kinds of analysis descriptions are valid, what insights come back, or how results are structured. Nothing an agent needs in order to invoke it correctly is supplied.

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%, and the region enum, createDownloadUrl, and analysisDescription are all documented in the schema itself. The description contributes zero additional parameter meaning, but the schema baseline of 3 applies.

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 a verbatim restatement of the title: 'Amazon ABA & Business Insights: intelligent Query API.' It names the domain (Amazon Brand Analytics) but never states what the tool actually does — no verb+resource, no indication of what an 'intelligent query' returns. Against hundreds of siblings, an agent has no basis to pick this over nexscope_amazon_keyword_intelligence or nexscope_data_js_keywords_by_asin.

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 prerequisites, and no mention of any alternative tool. With dozens of Amazon ABA/keyword/insight siblings in the list, the absence of 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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