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UVU-Store

shopify-graphql-mcp

by UVU-Store

create_discount

Create discount codes for Shopify store customers. Specify discount type (percentage or fixed amount), value, start and end dates, and usage limits.

Instructions

Create a basic discount code (percentage or fixed amount)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYesDiscount code (what customers enter)
titleYesDiscount title
valueYesDiscount value (e.g., '10' for 10% or $10)
endsAtNoEnd date (ISO 8601 format)
startsAtYesStart date (ISO 8601 format)
usageLimitNoTotal number of times this code can be used
discountTypeYesType of discount
minimumSubtotalNoMinimum purchase amount (if applicable)
minimumRequirementNoMinimum purchase requirement
appliesOncePerCustomerNoLimit to one use per customer
Behavior2/5

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

With no annotations, the description carries the full burden. It only states the high-level action and does not disclose side effects, prerequisites (e.g., required permissions), duplicate-code handling, or response behavior. A create operation's basic behavior is implied, but beyond that it is opaque.

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 extraneous content. It efficiently conveys the core purpose.

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?

For a tool with 10 parameters, 5 required, and no output schema or annotations, the description is too sparse. It does not mention return values, error cases, or how 'basic' relates to the schema's options, leaving the agent with an incomplete picture.

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 each parameter has a description. The tool description adds 'percentage or fixed amount', which reinforces the discountType enum, but no additional semantic value beyond the schema is provided.

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 identifies the tool as creating a discount code with specific types (percentage or fixed amount). It distinguishes itself from siblings like update_discount_code and get_discounts by focusing on creation.

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?

No guidance is provided on when to use this tool versus alternatives like create_price_rule or update_discount_code. The word 'basic' hints at limitations but does not explicitly state scenarios or exclusions.

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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