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AceDataCloud

AceDataCloud MCP Server

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acedatacloud_create_order

Create a recharge order for an application. Set confirm=true to submit, then use the returned order id to get a payment link via pay_order.

Instructions

Create a recharge order for an application. Requires confirm=true.

Returns the order (with its ``id``); call ``acedatacloud_pay_order`` next to get a
payment link.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
confirmNoMust be true to actually create the order.
package_idYesUUID of the package (quota bundle) to buy. Required.
application_idYesUUID of the application to recharge. Required.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description discloses that the tool requires confirmation (guard condition) and returns the order ID, then guides to the pay step. It lacks details on auth, rate limits, or side effects, but is sufficient for a simple creation workflow.

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?

Three sentences with no wasted words: first states purpose, second gives requirement, third explains return and next step. Every sentence serves a clear function.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 3 parameters, no nested objects, an output schema, and no annotations, the description covers the essential usage: purpose, guard condition, and follow-up action. It is complete enough for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and each parameter has descriptions. The description adds value by explaining the confirm parameter's role (must be true) and the overall workflow, going beyond what the schema provides.

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 states the specific verb 'Create' and resource 'recharge order for an application', clearly distinguishing it from sibling tools like acedatacloud_create_announcement or acedatacloud_pay_order.

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

Usage Guidelines4/5

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

The description explicitly requires 'confirm=true' to create the order and directs the agent to call 'acedatacloud_pay_order' next for a payment link. It provides clear context but does not list when not to use this tool or compare with other create tools.

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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