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Nexscope Ecommerce Data MCP

Amazon Market Statistics

nexscope_amazon_market_statistics

Use Nexscope market statistics capability to output a market statistics dashboard by category node, including top listing average rating, average price, BSR, sales, seller count, and new product related metrics, suitable for quickly assessing the market quality and competitive landscape of a category. Trigger when the user mentions category market statistics, market selection dashboard, market fundamentals assessment, node market quality, top product statistics, Nexscope market statistics, category statistics. Even if the user does not explicitly mention "Nexscope", if the need is to view aggregated statistical results by category node, this skill should also be triggered.

Input Schema

NameRequiredDescriptionDefault
topNNoTop Listing count (used for top-related metric definitions)
monthNoFilter date: nearly or yyyyMM
newProductNoNew product definition (months)
nodeIdPathYesNode ID path string, e.g. 1064954:1069242:1069784:1069820:1069838:1069828
marketplaceYesSite code, see [marketplace](#marketplace-options)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare openWorldHint=true and readOnlyHint=false, so the safety profile is covered structurally. The description adds the useful detail that results are aggregated per category node and lists the metric families, but says nothing about cost/credits, whether a report job is created (which would explain readOnlyHint=false for what reads like a query), or latency. There is mild tension between the purely descriptive 'output a statistics dashboard' phrasing and readOnlyHint=false, though nothing outright contradicts.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The opening sentence correctly front-loads the capability and its output metrics. However, the trigger section is padded with near-duplicate phrases ('category market statistics', 'market selection dashboard', 'category statistics', 'node market quality') that add length without adding routing information, and the final sentence restates brand-independence at excessive length.

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

Completeness3/5

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

With no output schema, describing the returned metrics is the right compensation and is done. Still missing for a 5-parameter node-based query: where the agent should obtain nodeIdPath (e.g., via nexscope_amazon_category_lookup), how 'month' behaves when omitted, and how this differs from the market_research/niche_info siblings.

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%, with every parameter documented, so the baseline is 3. The description loosely gestures at topN and newProduct by mentioning 'top listing' and 'new product related metrics', but adds no syntax, defaults, or the nodeIdPath format guidance beyond what the schema already states.

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: it produces a market statistics dashboard for a category node, and enumerates the metrics returned (top-listing rating, average price, BSR, sales, seller count, new-product metrics). It never names a sibling such as nexscope_amazon_market_research or nexscope_amazon_niche_info, so differentiation from those adjacent tools is left to inference.

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

Usage Guidelines4/5

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

Gives a concrete list of trigger situations (market selection, market fundamentals assessment, node market quality, top product statistics) and explicitly says to trigger it even without the 'Nexscope' brand mention, which is genuine routing guidance. It offers no when-not conditions and never points to an alternative tool for the same need.

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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