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aliyun
by aliyun

ApprovePermissionApplyOrder

Process permission request approvals in DataWorks by reviewing application details, providing feedback, and making approval decisions.

Instructions

审批权限申请单

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
FlowIdYes审批的申请单ID
ApproveCommentYes审批的备注信息
ApproveActionNo执行的审批动作,取值如下:- 1:同意。- 2:拒绝
Behavior2/5

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. '审批' (approve) implies a write/mutation operation that likely changes the state of a permission application, but the description doesn't specify behavioral traits such as required permissions, whether the action is reversible, potential side effects, or error conditions. For a mutation tool with zero annotation coverage, this is a significant gap in transparency.

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 phrase '审批权限申请单', which is extremely concise and front-loaded with the core action. However, it might be overly terse, potentially sacrificing clarity for brevity. It earns a high score for efficiency but loses a point because it could benefit from slightly more elaboration to enhance understanding without becoming verbose.

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 tool's complexity as a mutation operation (approving permissions) with no annotations and no output schema, the description is incomplete. It doesn't explain what happens after approval (e.g., state changes, notifications, return values), error handling, or dependencies. For a tool that modifies system state, more contextual information is needed to guide effective use.

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 description coverage is 100%, with all three parameters documented in the input schema: 'FlowId' (application order ID), 'ApproveComment' (approval comment), and 'ApproveAction' (approval action with values 1 for agree and 2 for refuse). The description adds no additional parameter semantics beyond what the schema provides, so it meets the baseline score of 3 where the schema does the heavy lifting.

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

Purpose3/5

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

The description '审批权限申请单' (Approve permission application order) states the action ('approve') and the target resource ('permission application order'), which gives a basic understanding of purpose. However, it doesn't specify what 'approve' entails operationally or distinguish this from other permission-related tools like 'CreatePermissionApplyOrder' or 'GetPermissionApplyOrderDetail' in the sibling list. The purpose is clear but lacks specificity about the approval process.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing an existing permission application order), exclusions, or comparisons to other tools like 'CreatePermissionApplyOrder' or 'ListPermissionApplyOrders'. Without such context, an agent might struggle to determine the appropriate scenario for invoking this tool.

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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