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get_product_details

Retrieve detailed product information including ingredients, nutrition facts, and allergens for Trader Joe's items using a product SKU.

Instructions

Get detailed information about a specific Trader Joe's product by SKU, including ingredients, nutrition facts, and allergens.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
skuYesProduct SKU from search results
Behavior2/5

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

No annotations are provided, so the description carries full burden. It states it's a read operation ('Get'), which is clear, but doesn't disclose behavioral traits like error handling (e.g., what happens if SKU is invalid), rate limits, authentication needs, or response format. For a tool with no annotations, this leaves significant gaps.

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, well-structured sentence that efficiently conveys the tool's purpose and key details without any wasted words. It's appropriately sized and front-loaded with essential information.

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?

Given the tool's low complexity (1 parameter, no nested objects) and high schema coverage, the description is adequate but incomplete. With no annotations and no output schema, it should ideally provide more behavioral context (e.g., response format, error cases) to fully compensate, leaving some gaps.

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%, with the schema documenting the 'sku' parameter as 'Product SKU from search results'. The description adds no additional parameter semantics beyond what's in the schema, so it meets the baseline of 3 where the schema does the heavy lifting.

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 clearly states the verb 'Get' and resource 'detailed information about a specific Trader Joe's product by SKU', with specific content details like 'ingredients, nutrition facts, and allergens'. It distinguishes from sibling tools like 'search_products' (which likely returns multiple results) by focusing on a single product lookup.

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 description implies usage when you need detailed info for a specific product identified by SKU, but doesn't explicitly state when to use this vs. alternatives like 'search_products' or 'get_new_products'. No guidance on prerequisites or exclusions is provided.

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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