get_reorder_linkReturn the reorder URL, product URL, and a copyable procurement spec for one catalog SKU or handle. Use for repeat-buy and procurement handoff workflows.
| Name | Required | Description | Default |
|---|---|---|---|
| sku | No | Packrift SKU such as 1066, MFL1295, or LL251WR. | |
| handle | No | Packrift product handle if SKU is unknown. | |
| source_context | No | Optional short context label, such as reorder or procurement. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, openWorldHint, and idempotentHint, so the safety profile is covered. The description adds the detail that the output includes a 'copyable procurement spec' and the exact URL types, but does not discuss edge cases or additional behavior beyond what annotations imply.
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?
Two sentences, front-loaded with the output and use case; every word 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?
For a read-only tool with rich annotations, the description provides the essential return types and usage context. It lacks output format details, but the absence of an output schema is mitigated by listing the key returned components.
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?
The input schema already provides descriptions for all three parameters (100% coverage). The description's phrase 'one catalog SKU or handle' reinforces the alternation but adds little beyond schema descriptions, so a 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 uses the specific verb 'Return' and names the exact outputs (reorder URL, product URL, procurement spec) scoped to 'one catalog SKU or handle', clearly distinguishing it from sibling tools like create_cart_url or get_bulk_quote_link.
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 explicitly states 'Use for repeat-buy and procurement handoff workflows', giving clear context for when to invoke. However, it does not name alternative tools or exclusion criteria, so it stops short of full when-to-use alternatives.
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.