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taejin5314
by taejin5314

check_cart_availability

Check whether every item in a shopping list is available and in sufficient quantity at an IKEA store. Verify stock instantly before visiting.

Instructions

Check whether all items in a shopping list are available in sufficient quantity at a single IKEA store.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYes
storeIdYes
Behavior2/5

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

With no annotations, the description must carry the full burden. It discloses the read-only 'check' nature and the single-store condition, but does not explain the return format, how missing/insufficient items are reported, or potential error behavior. For a tool with no output schema, this is a significant transparency gap.

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 a single, front-loaded sentence with no filler. Every word contributes to specifying the tool's scope and condition.

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?

The tool has no annotations, no output schema, and a sparse description. While the core purpose is clear, the absence of parameter details, usage guidance, and return-behavior information makes it incomplete for an agent deciding how and when to invoke it, especially with several sibling tools available.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must compensate for the two parameters. It indirectly references 'shopping list' (items) and 'single IKEA store' (storeId), but adds no semantics about the structure of items (itemNo, quantity constraints) or the storeId format. The property names are self-explanatory, but the description adds minimal value beyond them.

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

Purpose5/5

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

The description uses a specific verb ('Check'), names the resource ('availability of all items in a shopping list'), and adds a clear condition ('sufficient quantity at a single IKEA store'). This distinguishes it from sibling tools like find_best_store_for_cart, which optimizes by store, and suggests a single-store verification.

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 explicit guidance is given on when to use this tool versus alternatives such as check_multi_item_stock or find_best_store_for_cart. The description states the core purpose but does not mention scenarios where this tool is preferred, required, or contraindicated.

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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