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elsi06

Shopify MCP Manager

by elsi06

cancel_order

Cancel a Shopify order by GID, specifying a cancellation reason, with options to automatically refund and notify the customer via email.

Instructions

Cancels an order

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesShopify Order GID
reasonNoCancellation reason
refundNoAutomatically refund
notifyCustomerNoNotify customer via email
Behavior2/5

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

No annotations are provided, and the description does not disclose side effects such as payment reversal, inventory restocking, or permission requirements. The schema hints at refund and notifyCustomer options, but the description does not elaborate on the consequences of cancellation. This is a significant gap for a mutation tool.

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 with no wasted words. It is appropriately sized for the tool's simplicity, though it could benefit from including optional parameters. Structure is clear and front-loaded.

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 destructive operation with no annotations or output schema, the description is incomplete. It does not explain the order lifecycle after cancellation, potential side effects, or error conditions. The schema provides parameter details but not broader execution context.

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 schema provides 100% coverage of parameters, with clear descriptions for id, reason, refund, and notifyCustomer. The description adds no additional parameter-level meaning, so it relies entirely on the schema. 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 verb 'cancel' and the resource 'order', making it unambiguous. It distinguishes from sibling tools like list_orders or get_order, which are read operations. However, it lacks additional context such as the Shopify domain or optional behavior.

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 offers no guidance on when to use this tool versus alternatives like update_order or create_draft_order. There is no mention of prerequisites, such as order status or payment state. This leaves the agent to infer usage from the schema alone.

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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