open_order
Reopen a closed Shopify order by providing its order ID to make it active again.
Instructions
Reopen a closed order
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Order ID to reopen |
Reopen a closed Shopify order by providing its order ID to make it active again.
Reopen a closed order
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Order ID to reopen |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the core action (reopen) but omits side effects, permission requirements, reversibility, and behavior when the order is not closed. 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.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single four-word sentence that is front-loaded with the action verb 'Reopen'. Every word is essential, with no redundancy or filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool with one parameter and no output schema, the description plus schema provide the essential details to invoke it. However, the lack of annotations and minimal behavioral context leaves gaps around error handling and side effects, so it is only minimally complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema fully documents the only parameter 'id' as 'Order ID to reopen', and the description adds no additional meaning beyond that. With 100% schema coverage, the baseline of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Reopen a closed order' uses a specific verb ('reopen') and resource ('closed order'), clearly conveying the tool's function. It distinguishes from sibling tools like close_order and cancel_order by focusing on the reopening action.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The phrase 'closed order' provides clear context that this tool is used when an order is in the closed state. However, it does not explicitly mention alternatives or exclusions (e.g., not for cancelled orders), so it stops short of full guidance.
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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curl -X GET 'https://glama.ai/api/mcp/v1/servers/UVU-Store/shopify-graphql-mcp'
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