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Nexscope Ecommerce Data MCP

Amazon History KP: product Request API

nexscope_data_kp_product_request

Amazon History KP: product Request API.

Input Schema

NameRequiredDescriptionDefault
asinYesAmazon Standard Identification Number (ASIN), multiple ASINs separated by English commas, up to 5, with a maximum length of 300 characters. Example: `B0088PUEPK` or `B0088PUEPK,B00U26V4VQ,B07M68S376`
domainYesamazon domain name ID: `1` (USA), `2` (UK), `3` (Germany), `4` (France), `5` (Japan), `6` (Canada), `8` (Italy), `9` (Spain), `10` (India), `11` (Mexico), `12` (Brazil).
historyNoWhether the return value contains historical data and historical sales; `1` = contains time series data such as price history, sales ranking, historical sales, etc. `0` = only returns basic product information.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.2/5.0
Behavior2/5

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

Annotations declare readOnlyHint=false and openWorldHint=true, which an agent would not infer from a data-retrieval tool; the description neither confirms nor explains this. It says nothing about batching (up to 5 ASINs), the effect of the 'history' flag, response latency, or result format — all of which matter for behavior. No contradiction with annotations, just silence.

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 sentence, so there is no filler, but the sentence carries no information beyond the title. This is under-specification rather than conciseness, and there is no front-loaded statement of what the tool actually returns.

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?

A 3-parameter tool with no output schema and a crowded sibling namespace (kp_product_search, kp_product_series, plus numerous amazon_product_* tools) needs at least a statement of return content and differentiation. The description provides neither, leaving an agent with only the schema to decide whether to call it.

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 asin, domain, and the history toggle in detail (including the domain ID map and the 5-ASIN limit). The description adds nothing on top of that, which lands at the baseline 3 for full schema coverage.

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 restatement of the tool title ('Amazon History KP: product Request API') with no verb, no resource explanation, and no scope. An agent cannot tell what it retrieves or how it differs from the many neighboring Amazon product tools. It is essentially tautological rather than misleading, so a 2 rather than a 1.

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

Usage Guidelines2/5

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 alternatives such as nexscope_data_kp_product_search or nexscope_data_kp_product_series. The only hint of usage comes from the tool name and the 'KP' prefix in the title, which are not explained anywhere.

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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