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Amazon Product History

nexscope_amazon_product_history
Read-only

Retrieve Amazon product details by ASIN, including price, title, Item Highlights when available, main image, listing date, material, weight, variant monthly sales, and up to 12 months of monthly sales history. Triggered when users query Amazon product details, ASIN lookup, product pricing, sales rank history, monthly sales trends, product dimensions, FBA fees, product specifications, batch ASIN query, Nexscope product details, ASIN detail lookup, monthly sales data, pricing info, product specifications, FBA fees, batch ASIN query. Even if users do not explicitly mention "Nexscope", this skill should be triggered whenever the task involves obtaining structured product data for one or more Amazon ASINs.

Input Schema

NameRequiredDescriptionDefault
asinYesAmazon Standard Identification Number (ASIN), multiple ASINs separated by English commas, up to 5, max length 300 characters. Example: B0088PUEPK or B0088PUEPK,B00U26V4VQ,B07M68S376
domainYesAmazon domain ID. Options: 1 (United States), 2 (United Kingdom), 3 (Germany), 4 (France), 5 (Japan), 6 (Canada), 8 (Italy), 9 (Spain), 10 (India), 11 (Mexico), 12 (Brazil)
historyNoWhether to include historical data and historical sales in the response. 1 = include price history, sales rank, historical sales and other time-series data (sales for previous months), 0 = return only basic product information. Default: 0

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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. The description adds some behavioral context — history data goes back up to 12 months and 'Item Highlights' is only present 'when available' — but it does not address batching behavior, latency, rate limits, or what happens when an ASIN is missing/invalid, which matters for a read tool that accepts up to 5 ASINs.

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?

The front-loaded first sentence is good, but the remainder is keyword stuffing: 'product specifications, FBA fees, batch ASIN query' is literally repeated twice in the trigger list, and 'FBA fees' and 'product dimensions' are claimed as outputs that the first sentence never lists. Signal is buried under duplicated trigger phrases.

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, the field enumeration in the description is genuinely useful and the annotations cover the safety profile, so the essentials are present. But for a tool with three near-duplicate siblings and a batch-capable ASIN input, the description never resolves disambiguation or batching semantics, leaving real gaps.

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. The description's 'up to 12 months of monthly sales history' reinforces what the history flag unlocks, but it never explains the history parameter's default-on-cost tradeoff or the domain ID mapping — all of that lives in the schema already.

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?

The description opens with a specific verb and resource — 'Retrieve Amazon product details by ASIN' — and enumerates the returned fields (price, title, image, listing date, material, weight, variant sales, 12 months of history). That is far clearer than a tautology. However, it never distinguishes itself from the many similar siblings such as nexscope_amazon_product_detail, nexscope_amazon_market_product_detail, or nexscope_data_amazon_product_detail, so an agent cannot tell which product-detail tool to pick.

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

Usage Guidelines3/5

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

The long 'Triggered when users query...' clause states the situations this tool applies to, and the closing note says to trigger it even without the 'Nexscope' prefix. That is genuine usage context, but it is trigger-keyword padding rather than guidance on when to prefer this over the near-identical product-detail siblings, and no exclusions are given.

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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