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Nexscope Ecommerce Data MCP

Amazon Search Intelligence SF: keyword Overview API

nexscope_data_sf_keyword_overview

Amazon Search Intelligence SF: keyword Overview API.

Input Schema

NameRequiredDescriptionDefault
last7dNoWhether to take the last 7 days; when it is `false`, use the date range
countryNoSite: `US`, `UK`, `DE`, `CA`, `JP`, `FR`, `ES`, `IT`, `MX`, `AU`, `AE`, `BR`, `SA`US
endDateNo`yyyy-MM-dd`; works with `startDate`
keywordYesKeywords, maximum length 1000; try to use target site language
startDateNo`yyyy-MM-dd`; takes effect when `last7d=false`

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

D1.7/5.0
Behavior1/5

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

Annotations declare readOnlyHint=false and openWorldHint=true, so an agent would expect disclosure of what the call actually does (data query vs. side effect) and what an open-world lookup implies. The description adds nothing beyond the annotations — no cost, rate limit, or result-shape context. It does not contradict the annotations, but it carries none of its own weight.

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 and free of padding, but that brevity comes from under-specification rather than economy — the single sentence conveys no actionable information. Conciseness must be earned by content, and here there is none.

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?

Five parameters, no output schema, and an unannotated return format mean the description should explain what a keyword overview contains and how it differs from the sibling keyword endpoints. It does none of that, leaving the agent with a label and nothing else.

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 five parameters (keyword, country, last7d, startDate, endDate) are already documented in the schema with formats, defaults, and enum-like site lists. The description contributes no additional parameter meaning. Baseline 3 applies when the schema does the heavy lifting.

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 essentially a restatement of the tool name and title: 'Amazon Search Intelligence SF: keyword Overview API.' It names a resource domain but supplies no verb and no statement of what data an agent actually gets back (search volume, ranking, trends, etc.). An agent cannot distinguish this from nexscope_data_sf_keyword_summary or nexscope_amazon_keyword_overview on the basis of this text.

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 prerequisites, and no mention of any of the many siblings that cover overlapping keyword territory (nexscope_data_sf_keyword_summary, nexscope_data_sf_asin_keywords, nexscope_data_js_keywords_by_keyword). Nothing tells an agent which keyword tool to pick.

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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