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aliyun
by aliyun

ListFunctions

Retrieve and filter user-defined functions in DataWorks projects by type, owner, or pagination to manage data development resources.

Instructions

获取数据开发函数列表

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ProjectIdNoDataWorks工作空间的ID
OwnerNo筛选条件:udf函数的负责人ID
TypeNo筛选条件:函数类型可选值:- Math: 数学运算函数- Aggregate: 聚合函数- String:字符串处理函数- Date:日期函数- Analytic:窗口函数- Other: 其他函数
PageSizeNo每页显示的数据条数,默认为10条,最大为100条
PageNumberNo分页的页数。默认值为1,最小值为1
Behavior2/5

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

No annotations are provided, so the description carries full burden. It only states the action ('get list') without disclosing behavioral traits like pagination behavior (implied by PageSize/PageNumber but not explained), rate limits, authentication needs, or what happens on empty results. For a list tool with zero annotation coverage, this is inadequate.

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, efficient sentence with no wasted words. However, it's under-specified rather than concise—it could benefit from additional context without becoming verbose, but as-is it's structurally sound.

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 no annotations, no output schema, and a list operation with filtering/pagination parameters, the description is incomplete. It doesn't explain return format, pagination behavior, error conditions, or how filters interact. For a tool with 5 parameters and no structured output documentation, this leaves significant 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?

Schema description coverage is 100%, so the schema fully documents all 5 parameters. The description adds no parameter information beyond what's in the schema, but since the schema is comprehensive, the baseline score of 3 is appropriate as the description doesn't need to compensate.

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 '获取数据开发函数列表' (Get data development function list) states the verb ('get') and resource ('function list'), but it's vague about scope and doesn't distinguish from sibling tools like GetFunction (which likely retrieves a single function). It doesn't specify whether this lists all functions or filtered subsets, leaving purpose ambiguous.

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 like GetFunction or other List* tools. The description doesn't mention prerequisites, context, or exclusions, leaving the agent to infer usage from the tool name 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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