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create_coupon

Create discount coupons for customers by specifying code, discount type (percentage or fixed), value, validity period, and usage constraints.

Instructions

Create a new promotional discount coupon code for store customers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYesCoupon code (e.g. SUMMER20, WELCOME100)
endDateNoCoupon expiration date (YYYY-MM-DD)
startDateNoCoupon valid start date (YYYY-MM-DD)
usageLimitNoTotal usage limit count
discountTypeYesDiscount type: percentage off or fixed SAR amount
discountValueYesDiscount value (e.g. 15 for 15% or 50 for 50 SAR)
minOrderAmountNoMinimum required order total to use coupon
maxDiscountAmountNoMaximum cap on discount amount for percentage coupons
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It implies a write operation via 'Create' but does not disclose potential side effects, idempotency, duplicate handling, required permissions, or any edge-case behavior. The description is too thin to be transparent.

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, front-loaded sentence with no unnecessary words. It conveys the essential purpose directly and efficiently, achieving maximum conciseness.

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?

Despite having 8 parameters and no output schema, the description provides only the basic purpose. It does not explain expected return values, validation rules, or behavior in edge cases like duplicate codes or inactive date ranges. The description is too sparse for the tool's complexity.

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?

The input schema has 100% description coverage, so the schema already explains all parameters. The description adds no parameter-specific information, leaving the semantics to be fully derived from the schema. This aligns with the baseline of 3 for high schema coverage.

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 specific verb ('Create') and a clear resource ('promotional discount coupon code'), which makes the tool's purpose immediately understandable. It is distinct from sibling tools like list_promotions or update_product_stock, and the phrase 'for store customers' adds useful audience context.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives, nor does it mention any prerequisites, limitations, or exclusions. It is a bare statement of function with no usage context.

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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