get_cart_handoff_candidatesReturns curated Packrift SKUs that are ready for cart handoff, including create_cart_url arguments, SKU records, product/reorder/quote links, and the required live-confirmation sequence.
| Name | Required | Description | Default |
|---|---|---|---|
| sku | No | Optional exact Packrift SKU filter. | |
| limit | No | ||
| family | No | Optional product family filter. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations only say readOnlyHint and openWorldHint, so the description adds valuable context: the output includes a 'required live-confirmation sequence' and curated SKUs with specific link types. This goes beyond what annotations convey and describes the return content and selection criteria.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single sentence that is information-dense and front-loaded with the main purpose, then lists the key output components without wasted words. Every clause earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema and moderate complexity, the description covers the main returned elements and the sequence requirement. It lacks details on interpreting the live-confirmation sequence or how the output integrates with create_cart_url, but for a read-only list tool it is reasonably complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema has 67% description coverage; limit lacks a description but has bounds. The description mentions 'SKU filter' indirectly but does not explain parameters like limit or family. It adds some context about output structure but not parameter-specific semantics, so it only partially compensates for the missing descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb ('Returns') and resource ('curated Packrift SKUs that are ready for cart handoff'), and details what is included (create_cart_url arguments, SKU records, links, live-confirmation sequence). This clearly distinguishes it from siblings like get_product or check_inventory.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
It conveys the intended use case: obtaining candidates that are ready for cart handoff, implying this precedes create_cart_url. However, it does not explicitly name alternatives or state when not to use it, so it lacks exclusions but provides clear context.
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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Several tools have overlapping purposes: check_inventory and inventory_status both focus on live stock, find_packaging_for_item and pack_calculator both handle dimension-based fitting, and create_cart_url, prepare_purchase_handoff, and get_cart_handoff_candidates all revolve around cart handoff. While descriptions add some clarity, an agent could easily select the wrong tool without careful reading.
Most tools follow a verb_noun pattern (e.g., check_inventory, get_pricing, search_products), but inventory_status and pack_calculator are noun-based and break the convention. The naming is still predictable and readable overall.
15 tools is at the upper edge of the ideal range, and the count feels slightly inflated due to overlapping inventory and cart-handoff tools. However, each tool has a defined purpose in the procurement workflow, so the count is not excessive.
The tool surface covers the full buyer journey: search, fit calculation, comparison, product detail, inventory check, pricing, cart creation, purchase handoff, shipping estimates, quotes, and reorder links. No critical dead ends were found.