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dingtalk_aitable_base_create

Create a new DingTalk AI table (Base) by specifying a name. Use it to organize structured data for AI-driven workflows and collaborative tasks.

Instructions

创建新的 AI 表格(Base)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesBase 名称
Behavior1/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure, but it only states '创建新的 AI 表格(Base)'. It does not mention authentication needs, potential side effects, whether duplicate names are allowed, or what the response contains, offering no insight beyond the basic action.

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?

The description is a single concise sentence that directly conveys the tool's function. It is front-loaded with the action and resource, contains no fluff, and is appropriately sized for the tool's simplicity.

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 lack of annotations and output schema, the description should provide more context such as return values, required permissions, or idempotency. It merely states the creation action without explaining what happens on success, leaving the description incomplete for a create operation.

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 fully documents the single 'name' parameter with description 'Base 名称', giving 100% schema coverage. The description adds no additional semantic detail about this parameter, so the baseline score of 3 applies.

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 action '创建新的' (create new) and the resource 'AI 表格(Base)', making it specific to the AITable Base creation tool. This distinguishes it from siblings like dingtalk_aitable_record_create or dingtalk_aitable_base_list by naming the exact resource and operation.

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 such as dingtalk_aitable_base_list or dingtalk_aitable_record_create. There is no mention of prerequisites, exclusions, or preferred use cases, leaving the agent without contextual selection cues.

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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