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?
The description adds value beyond the readOnlyHint and openWorldHint annotations by detailing the response contents: create_cart_url arguments, SKU records, links, and a live-confirmation sequence. This gives useful 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.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, focused sentence that front-loads the core purpose ('Returns curated Packrift SKUs') and packs in meaningful details without fluff. Every phrase 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?
Despite lacking an output schema, the description enumerates the key return elements (URL arguments, SKU records, links, confirmation sequence), providing sufficient context for a read-only list tool with only optional parameters. It could mention pagination or list behavior, but the current detail is adequate.
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 description coverage is 67%, so the schema already explains sku and family. The description adds no parameter-specific meaning. The limit parameter lacks a schema description, but its type/default/range partially cover its semantics. With no param info added, the baseline 3 is appropriate.
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 clearly states the tool returns curated Packrift SKUs ready for cart handoff, with a specific verb ('returns') and resource. It distinguishes itself from siblings like create_cart_url by focusing on candidate selection rather than URL creation.
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?
The description implies usage for preparing cart handoff, but does not explicitly state when to use this tool versus alternatives like create_cart_url or get_product. No exclusions or alternative mentions are provided, leaving the usage context somewhat implicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools have clearly distinct purposes, but there is potential confusion between inventory-checking tools (check_inventory vs. inventory_status) and cart-handoff tools (create_cart_url vs. prepare_purchase_handoff). Descriptions help differentiate, but an agent might occasionally select the wrong tool.
The naming convention is generally consistent with verb_noun in snake_case (e.g., find_packaging_for_item, get_pricing). However, google_retail_ai_finder breaks the pattern with a company prefix, and some verbs vary (check vs. inventory_status). Overall clear and predictable.
16 tools is slightly above the ideal 3-15 range, but still reasonable for a packaging e-commerce domain covering search, fit, inventory, pricing, shipping, and cart creation. Each tool serves a specific need, so the count feels appropriate.
The tool surface covers the core customer journey: product discovery, fit calculation, inventory/pricing checks, shipping estimation, cart handoff, reordering, and bulk quotes. Minor gaps exist (e.g., no order tracking or cancellation), but these are likely out of scope.