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Kockatoos Shopify MCP Server

create_discount_code

Set a customer-facing discount code for a price rule. Assigns a code like 'SAVE10' to an existing price rule ID.

Instructions

Set the customer-facing code for a basic GraphQL code discount node.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
price_rule_idYesThe price rule ID this code belongs to.
codeYesThe discount code string that customers enter at checkout (e.g. 'SAVE10').
Behavior1/5

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

No annotations are provided, and the description does not disclose any behavioral traits (e.g., idempotency, validation, side effects). An agent cannot infer important details like whether this tool can overwrite an existing code or what happens if the code is already in use.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, concise sentence with no unnecessary words. It is appropriately front-loaded and easy to parse.

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?

Given the lack of output schema and annotations, the description is incomplete. It does not explain the return value, error conditions, or prerequisite states (e.g., that the price_rule_id must exist). The tool is simple but still leaves important gaps.

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% parameter coverage with clear descriptions. The description adds no additional meaning beyond what the schema provides, so the baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Set the customer-facing code') and the resource ('a basic GraphQL code discount node'), which distinguishes it from siblings like 'create_code_discount_basic' that likely create the entire discount. However, the verb 'set' could be more explicit about creation versus update.

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 on when to use this tool versus alternatives such as 'create_code_discount_basic' or 'update_price_rule'. The description does not help the agent decide which tool to invoke in 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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