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PlentyONE MCP by usefulapi

plentymarkets_list_variations

Read-only

Search variations (the sellable products: number, SKU, barcodes, prices, stock, categories). Filter by item, number, barcode, SKU, active flag, category, warehouse. Use with for the related data (variationSalesPrices, variationBarcodes, stock, variationCategories, images ...). GET /rest/items/variations.

Input Schema

NameRequiredDescriptionDefault
idNoOne variation id.
skuNo
langNo
pageNoPage number, from 1 (default 1).
withNo
barcodeNo
is_mainNoOnly main variations.
item_idNoOnly variations of this item.
is_activeNo
item_nameNo
updated_toNoOnly variations updated up to this day (yyyy-mm-dd).
category_idNo
supplier_idNo
number_exactNoThe exact variation number.
number_fuzzyNoVariation numbers that contain this text.
updated_fromNoOnly variations updated from this day on (yyyy-mm-dd).
items_per_pageNoEntries per page, 1 to 100 (default 25). When is_last_page is false, ask for the next page.
manufacturer_idNo
stock_warehouse_idNoOnly variations with physical stock in this warehouse.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is covered. The description adds the GET endpoint and explains related-data expansion via `with`, but does not disclose pagination behavior, default page size, or return shape beyond what the schema already contains.

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

Conciseness5/5

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

The description is compact and front-loaded: purpose first, then supported filters, then the `with` expansion. Every sentence contributes to understanding the tool, and there is no redundant repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 19-parameter list endpoint without an output schema, the description gives useful scope and filter examples but omits pagination behavior and several filter parameters. It is adequate for basic use, but not complete enough to eliminate ambiguity for the full parameter 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 53%, and the description names many filters (item, number, barcode, SKU, active flag, category, warehouse) plus the `with` expansion. However, it leaves several parameters such as id, lang, page, is_main, supplier_id, manufacturer_id, updated ranges, and items_per_page unmentioned, so it adds useful but incomplete meaning beyond the schema.

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

Purpose4/5

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

States a specific verb and resource ('Search variations') and clarifies that variations are sellable products with number, SKU, barcodes, prices, stock, and categories. It does not explicitly distinguish this from sibling tools like plentymarkets_list_items or plentymarkets_get_item, so it is clear but not fully sibling-differentiated.

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

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for filtered variation search and says to use `with` for related data, but gives no explicit when/when-not guidance or alternatives such as list_items or list_stock. This is minimum viable guidance rather than a clear routing statement.

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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