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Amazon History KP: product Request API

nexscope_data_kp_product_request
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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

D1.6/5.0
Behavior2/5

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

Annotations declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. However the description adds nothing at all beyond that — no mention of what the 'history' toggle actually yields, whether results are time-series vs snapshot, or any rate/scope constraints.

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 one short sentence, so it is not verbose, but brevity here is under-specification rather than conciseness. Nothing is front-loaded because there is no content to front-load.

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?

With no output schema and a tool whose whole point is returning historical product data, the description never explains what is returned, how the history flag changes the response, or how results for multiple ASINs are structured. The agent has no basis to decide whether to call this instead of a sibling history tool.

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%: asin (batch up to 5, comma-separated, example given), domain (explicit enum mapping), and history (0/1 semantics) are all fully documented in the schema. The description contributes nothing extra, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

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/name ("Amazon History KP: product Request API") with no verb describing an action and no indication of what data is actually retrieved. 'Request API' is not a purpose; an agent cannot infer whether this returns product history, price time series, sales ranks, or something else.

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 exclusions, and no reference to any of the many sibling tools (e.g., nexscope_amazon_product_history, nexscope_data_kp_product_series, nexscope_data_kp_product_search) that plausibly overlap with this one. The agent must guess based on the name alone.

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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