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Amazon Search Intelligence SF: asin Summary API

nexscope_data_sf_asin_summary
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Amazon Search Intelligence SF: asin Summary API.

Input Schema

NameRequiredDescriptionDefault
descNoIs descending order
last7dNoWhether to take the last 7 days; when it is `false`, use the date range
sortByNo`totalKeywordNum`、`naturalKeywordNum`、`brandKeywordNum`、`vedioKeywordNum`、`acKeywordNum`、`erKeywordNum`、`trKeywordNum`、`sumScore`、`totalNfScore`、`totalSpSocre`、`totalBrandScore`、`totalVedioScore`、`totalAcScore`、`totalTrScore`、`totalErScore`
countryNoSite: `US`, `UK`, `DE`, `CA`, `JP`, `FR`, `ES`, `IT`, `MX`, `AU`, `AE`, `BR`, `SA`US
endDateNo`yyyy-MM-dd`; works with `startDate`
pageNumNoPage number
pageSizeNoNumber per page, range 10–10000
startDateNo`yyyy-MM-dd`; takes effect when `last7d=false`
conditionsNoComma separated: `nf`, `sp`, `sb`, `sbv`, `ad`, `acAd`, `totalPeriod.in`
searchValueYesASIN codes, multiple separated by commas, up to 10, maximum length 1000 characters

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.1/5.0
Behavior2/5

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 elsewhere and the bar for the description is lower. Still, the description adds nothing — it does not mention that results are scoped by country/site, paginated up to 10000 rows, or that last7d vs start/endDate date logic applies.

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 only because nothing was said — this is under-specification rather than conciseness. There is no front-loaded explanation of the operation, scope, or expected input beyond a title echoed back.

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?

A 10-parameter tool with no output schema, no parameter discussion, and a bare title sentence leaves the agent with almost nothing beyond the schema and annotations. For a data-retrieval tool whose return shape is undocumented, the description should at minimum explain what the summary aggregates.

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 all ten parameters (searchValue, country, sortBy, last7d, date range, pagination) are already documented in the schema. The description contributes zero additional parameter meaning, so the baseline 3 applies rather than anything higher.

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 Search Intelligence SF: asin Summary API") with no verb or explanation of what an ASIN summary actually contains or returns. An agent cannot tell from this text how it differs from sibling tools like nexscope_data_sf_asin_keywords or nexscope_data_sf_keyword_summary, other than by parsing the name itself.

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?

No when-to-use guidance, no prerequisites, and no mention of alternatives among the many sf/data Amazon search tools. The only implicit signal is that it takes ASINs, which comes from the parameter name in the schema, not the description.

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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