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get_product_details

Read-onlyIdempotent

Retrieve comprehensive product details for a single electronic component: current specifications, inventory, lifecycle, classifications, variations, and account-specific pricing.

Instructions

Get current specifications, inventory, lifecycle, classifications, variations, and account pricing for one product.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
includesNo
account_idNo
product_numberYes
manufacturer_idNo
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety profile is covered. The description's 'Get current' is consistent and hints at real-time data, but otherwise adds no behavioral traits beyond annotations (e.g., missing product behavior, auth needs).

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?

A single, front-loaded sentence with no filler. The verb 'Get' starts immediately, and the list of data categories is compact and purposeful.

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?

With 4 parameters (one required) and no output schema, the description doesn't explain parameter usage or the return structure beyond a high-level list. An agent would not know valid `includes` values, how `account_id` affects pricing, or how to disambiguate with `manufacturer_id`, making it insufficient for correct invocation.

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 description coverage is 0%, so the description must compensate for parameter meaning. It implicitly links 'account pricing' to account_id and 'one product' to product_number, but provides no explanation for `includes` choices or `manufacturer_id`, leaving the agent guessing on how to invoke these optional parameters.

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?

Description clearly states 'Get current specifications, inventory, lifecycle, classifications, variations, and account pricing for one product' – a specific verb and resource with a clear single-product scope. It distinguishes from siblings like search_products (multi-product) and get_product_pricing (pricing-only) by enumerating multiple data categories.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides clear context: use for a single product's comprehensive details, with the listed data categories implying a full snapshot. However, it doesn't explicitly name alternatives or state when not to use it, leaving some ambiguity against similar tools like research_product or get_product_pricing.

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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