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dingtalk_aitable_field_get

Retrieve field definitions from a DingTalk Aitable table. Supply base_id and table_id to get a list of fields with their names and types.

Instructions

获取数据表的字段定义列表

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
base_idYesBase ID
table_idYes数据表 ID
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. It only states what the tool does; it does not mention side effects (likely none), required permissions, return format, pagination, or error behavior. For a simple read operation this is a meaningful gap.

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, concise sentence with no unnecessary words. It is front-loaded with the action and resource. However, it is so minimal that it borders on under-specification, but for a simple get operation it is appropriately concise.

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

Completeness3/5

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

With only 2 parameters, full schema coverage, and no output schema, the description is moderately complete. It conveys the core purpose but lacks any context about return data, usage scenarios, or differentiation from similar aitable tools. It is adequate but not comprehensive.

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?

The input schema covers both parameters (base_id and table_id) with descriptions, providing 100% coverage. The tool description adds no additional meaning beyond the schema, so the baseline score of 3 is appropriate.

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 clearly states the tool's function: '获取数据表的字段定义列表' (get the field definition list of a data table). It uses a specific verb and resource, clearly distinguishing it from sibling tools like aitable_table_get (table metadata) and aitable_record_query (records).

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 information about when to use this tool versus alternatives. It does not mention any prerequisites, exclusions, or situations where another tool might be more appropriate. The purpose is implied but not explicitly guided.

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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