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Nexscope Ecommerce Data MCP

Etsy Store Query

nexscope_etsy_store_query

Returns Etsy store profiles and marketplace performance metrics.

Input Schema

NameRequiredDescriptionDefault
pageNoPage number starting from 1.
isStarNoStar store flag: 1 yes.
sortByNoSort field: 8 total sales, 9 weekly sales, 10 reviews, 11 favorites.
statusNoStore status: 1 active, 0 inactive.
countryNoStore country or region.
categoryNoPrimary store category.
endSalesNoMaximum total sales.
isRavingNoRaving store flag: 1 yes.
pageSizeNoItems per page from 1 to 100.
sortDescNoSort direction: 1 descending, 0 ascending.
searchKeyNoStore name, keyword, or Etsy store URL.
beginSalesNoMinimum total sales.
endReviewsNoMaximum total reviews.
beginReviewsNoMinimum total reviews.
endFavoritesNoMaximum total favorites.
beginFavoritesNoMinimum total favorites.
endSalesWeeklyNoMaximum weekly sales.
beginSalesWeeklyNoMinimum weekly sales.
endReviewsWeeklyNoMaximum weekly reviews.
endStoreOpenedAtNoOpening date range end in YYYY-MM-DD format.
beginReviewsWeeklyNoMinimum weekly reviews.
beginStoreOpenedAtNoOpening date range start in YYYY-MM-DD format.
endFavoritesWeeklyNoMaximum weekly favorites.
beginFavoritesWeeklyNoMinimum weekly favorites.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
Behavior2/5

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

Annotations only give readOnlyHint=false and openWorldHint=true; the description adds nothing beyond them—no pagination defaults, no max result count, no note about whether searchKey is needed or whether an empty call scans the whole marketplace. For a 24-filter open-world query this leaves real behavioral questions unanswered.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler or redundancy. It is efficient, though the brevity is achieved by omission rather than by compression of richer content.

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?

With 24 parameters, no output schema, and minimal annotations, the description should explain result shape, pagination behavior, and typical filter combinations. It supplies none of that, so an agent can only guess at how to get a meaningful result set.

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 every filter including the cryptic sortBy/isStar/isRaving codes is already documented. The description adds no meaning beyond the schema, which is the acceptable baseline when the schema carries the load.

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

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

States the resource (Etsy store profiles) and the payload (marketplace performance metrics), so the object of the tool is identifiable. But 'Returns' obscures that this is a filtered/paginated search over stores with 24 query filters, and it never distinguishes itself from near-siblings like nexscope_etsy_product_query or nexscope_etsy_product_detail.

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 indication of when to use this versus the many sibling store/product query tools (Etsy, Shopify, Temu store queries all exist). No mention that searchKey, country, category, or sales ranges can narrow results, so an agent gets no routing signal at all.

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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