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Sapo MCP by usefulapi

List inventory items

sapo_list_inventory_items
Read-only

List inventory items (one per variant) by SKU/barcode search, variant or product ids. The id is what stock levels use as inventory_item_id. Paged. GET /admin/inventory_items.json.

Input Schema

NameRequiredDescriptionDefault
idsNoOnly these inventory item ids.
pageNoPage number, from 1 (default 1). Pass the previous reply's next_page.
limitNoResults per page, 1-250 (default 50).
queryNoSearch by barcode or SKU.
product_idsNoOnly these product ids.
variant_idsNoOnly these variant ids.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds beyond that: results are paged, granularity is one item per variant, and the returned id is the key consumed by stock-level operations — meaningful cross-tool behavioral context not present in annotations.

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?

Four short, front-loaded sentences with no filler; the key scoping facts lead. It is written in telegraphic fragments rather than a cohesive sentence, which is efficient but slightly clipped.

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?

No output schema exists, and the description covers pagination and result granularity, which is the essential return-shape information. It does not explain whether query combines with ids/product_ids/variant_ids (AND vs OR) or default ordering, leaving a real ambiguity for a read tool with four independent filter parameters.

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 six parameters are self-documenting (ids, query, product_ids, variant_ids, page, limit with ranges and defaults). The description restates the filter modes at a high level but adds no syntax or combination semantics, so it sits at the baseline.

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 (list inventory items), plus a genuinely distinguishing detail: one record per variant, and the id is the inventory_item_id used by stock levels. That ties it conceptually to the inventory-level siblings, though it never names them explicitly.

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 note that 'the id is what stock levels use as inventory_item_id' implies the natural next step (list/set inventory levels), so usage is inferable. However there is no explicit when-to-use, when-not, or named alternative such as sapo_list_inventory_levels vs this tool.

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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