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aliyun
by aliyun

ListColumns

Retrieve and filter column details from DataWorks data tables using table ID, name matching, sorting, and pagination options.

Instructions

查询数据地图数据表字段列表

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
TableIdYes数据表ID,可参考[元数据实体相关概念说明](~~2880092~~)
OrderNo排序方向,默认为Asc,枚举值,当前支持-Asc升序-Desc降序
CommentNo注释,模糊匹配
PageSizeNo分页大小,默认为10,最大为100
PageNumberNo分页页码,默认为1
SortByNo排序字段,默认为Position,枚举值,当前支持-Name名称-Position位置
NameNo名称,模糊匹配
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 mentions querying but fails to disclose behavioral traits such as pagination behavior (implied by PageSize/PageNumber), rate limits, authentication needs, or what happens with invalid inputs. This leaves significant gaps for a tool with 7 parameters.

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 in Chinese that directly states the tool's function. It is front-loaded with no wasted words, though it could benefit from slight elaboration to improve clarity without losing conciseness.

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 (7 parameters, no annotations, no output schema), the description is incomplete. It lacks details on return values, error handling, or operational context, making it insufficient for an agent to fully understand how to invoke and interpret results effectively.

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 documents all parameters thoroughly. The description adds no additional meaning beyond the schema, such as explaining relationships between parameters or usage examples. Baseline 3 is appropriate as the schema handles parameter documentation adequately.

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 '查询数据地图数据表字段列表' (Query data map data table field list) states the purpose as a query operation for table fields, which is clear but generic. It doesn't specify what distinguishes this tool from similar siblings like 'GetColumn' or 'ListTables', leaving ambiguity about its unique scope.

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 is provided on when to use this tool versus alternatives. With many sibling tools like 'GetColumn' (singular) and 'ListTables', the description lacks context on selection criteria, prerequisites, or exclusions, offering minimal usage direction.

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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