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Get inventory by warehouse

binderp_get_inventory
Read-only

Stock of every product in one warehouse: current inventory, balance, quantity on client orders and on purchase orders, value and SKU. Filter with OData, e.g. CurrentInventory lt 5 for low stock. GET /api/Inventory?warehouseID=.

Input Schema

NameRequiredDescriptionDefault
topNoRows per page, 1-100 (default 25).
skipNoRows to skip (default 0). Pass the previous reply's next_skip to get the next page.
filterNoOData $filter, e.g. CurrentInventory lt 5. Text uses single quotes, functions such as substringof('abc', Field) and operators eq ne gt ge lt le and or are supported; a GUID is written guid'3f2504e0-4f89-11d3-9a0c-0305e82c3301'. Dates: datetime'2026-10-01T00:00:00'.
orderbyNoOData $orderby, e.g. 'Date desc' or 'Title'.
warehouse_idYesWarehouse id (catalog warehouses) (a GUID, as returned by the list tools).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, openWorldHint=true, so the safety profile is covered. The description adds real value beyond that: it names the underlying endpoint (GET /api/Inventory?warehouseID=) and spells out the returned fields, which is important since there is no output schema. It omits any pagination note, though the schema hints at it via next_skip.

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?

Two tight sentences; the returned-field inventory is front-loaded and the filter hint follows. The trailing 'GET /api/Inventory?warehouseID=.' is slightly awkward but carries endpoint information rather than being filler.

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

Completeness4/5

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

With no output schema, the description correctly compensates by listing what each row contains, and the schema fully covers paging and filter syntax. A brief note on pagination behavior or warehouse-scope caveats would make it fully complete, but nothing essential is missing for a read-only listing call.

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 are already documented, including the OData filter syntax. The description only echoes the filter example already in the schema and adds no new meaning for top/skip/orderby, so the baseline 3 applies.

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+resource+scope: stock of every product in one warehouse, and enumerates the returned measures (inventory, balance, client/purchase order quantities, value, SKU). It does not explicitly distinguish itself from the nearby sibling binderp_list_products_with_price_and_stock, so it stops short of a 5.

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?

Usage context is implied by the filter example ('CurrentInventory lt 5 for low stock'), which shows when the tool is handy, but there is no explicit when-to-use/when-not guidance and no named alternative among siblings such as list_products_with_price_and_stock.

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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