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manage_bitable_field

List, create, update, or delete fields in a Bitable table. Specify app token, table ID, field ID, name, type, and properties as needed.

Instructions

[Official API] Manage fields (columns) inside a Bitable table. action=list, create, update (Feishu requires type even when only renaming), delete.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesOperation to perform
app_tokenYesBitable app token. Accepts native token, wiki node, or Feishu URL.
table_idYesTable ID
field_idNoField ID — required for update/delete.
field_nameNoField display name — required for create, optional for update.
typeNoField type (1=Text, 2=Number, 3=SingleSelect, 4=MultiSelect, 5=DateTime, 7=Checkbox, 11=User, 13=Phone, 15=URL, 17=Attachment, 18=Link, 20=Formula, 21=DuplexLink, 22=Location, 23=GroupChat, 1001=CreateTime, 1002=ModifiedTime, 1003=Creator, 1004=Modifier). Required for create AND update — Feishu API rejects update without it.
propertyNoField-type-specific properties (optional). E.g. SingleSelect: {options:[{name:"A"},{name:"B"}]}.
Behavior3/5

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

Without annotations, the description carries the full burden. It discloses the API quirk about update requiring type, but does not mention authentication needs, rate limits, or side effects. Behavioral transparency is adequate but not rich.

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 sentence with a parenthetical note, which is very concise. However, the structure could be improved (e.g., bullet points for actions) to enhance scanability.

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?

The description covers the main purpose and a behavioral note, but does not explain return values for each action. Given the tool has 7 parameters and 4 actions, more context (e.g., what each action returns) would improve completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. The description adds significant value by explaining that app_token accepts various formats, enumerating field type numbers, and giving an example for SingleSelect property. This goes well beyond the schema descriptions.

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 it manages fields (columns) inside a Bitable table with four specific actions (list, create, update, delete). This directly distinguishes it from sibling tools like manage_bitable_record or manage_bitable_table.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides a critical usage note: Feishu requires 'type' even when only renaming during update. This is explicit guidance for a specific scenario. However, it lacks general guidance on when to use this tool vs alternatives.

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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