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evaluate_product

Generate a structured viability scorecard for a product using margin inputs, shipping coverage, variant spread, and stock signal to provide a comparable decision summary.

Instructions

Produce a factual structured viability scorecard for one product — margin inputs, shipping coverage, variant spread, and stock signal. Use when the user wants a comparable decision summary. Do NOT use when the user only wants product details (use get_product), pure margin math (use calculate_margin), or to find candidates first (use search_products). No auth required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_idYesHertwill product ID
target_retail_priceNoPlanned retail price in EUR
ad_spend_per_unitNoEstimated ad spend per unit in EUR
vat_rateNoVAT rate as decimal (e.g. 0.21 for 21%)
Behavior4/5

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

No annotations provided, but the description indicates a read-only operation (factual scorecard) and no authentication needed. Could mention side effects or rate limits, but overall sufficient for safe invocation.

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?

Two sentences with a bullet-like list and clear usage guidelines. Every part is necessary and front-loaded with the core purpose.

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?

The description explains what the tool does and the output components, compensating for the missing output schema. It covers main use cases but could mention the return format or that it evaluates exactly one product.

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 coverage is 100%, so baseline is 3. The description adds overall context (scorecard components) but does not augment individual parameter descriptions beyond what the schema offers.

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 uses a strong verb ('Produce') and specifies a unique output (factual structured viability scorecard) with listed components. It clearly distinguishes from siblings by naming alternative tools for different needs.

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

Usage Guidelines5/5

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

Explicitly states when to use ('comparable decision summary') and when not to use, with named alternatives (get_product, calculate_margin, search_products). Also notes 'No auth required'.

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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