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AIwithhassan

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by AIwithhassan

get_product_info

Retrieves product name and price from a product ID or name, such as 'macbook' or 'iPhone', to support customer service inquiries.

Instructions

Return product info (name, price) for a product ID or name (e.g. 'macbook', 'iPhone').

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
productYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description must convey behavioral traits. It states the tool returns product info and accepts an ID or name, but doesn't disclose behavior for invalid or non-existent products, error handling, or any side effects. This is adequate for a simple read-only tool but lacks depth.

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 concise sentence that front-loads the action and resource, then provides input details and examples. Every word contributes value, with no redundancy or filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple one-parameter tool with an output schema, the description covers the core purpose and input semantics. It doesn't explain what happens when no product is found or if multiple matches exist, but these are minor gaps given the tool's simplicity and existing output schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema provides only a parameter name 'product' with no description. The description compensates fully by explaining it accepts a product ID or name and giving examples ('macbook', 'iPhone'). This adds critical meaning beyond the structured schema.

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 tool's purpose: 'Return product info (name, price) for a product ID or name'. It uses a specific verb ('Return') and identifies the resource ('product info'), distinguishing it from sibling tools like get_order_id or lookup_customer_info which operate on different entities.

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?

The description provides clear context on when to use the tool: when product information is needed, specifying the input format (product ID or name). It doesn't explicitly mention when not to use it or name alternatives, but the implied usage is straightforward for a simple query tool.

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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