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list_fields

Read-onlyIdempotent

Retrieve field metadata from an Airtable table, including field IDs, names, types, and typeOptions. Supports filtering by field type or name substring.

Instructions

List fields in a table — returns id, name, type, and typeOptions per field. Use instead of get_table_schema when you need fields only (no view data). Use fieldType or nameContains filters on large tables to reduce context size. Returns [{ id, name, type, typeOptions }].

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
appIdYesThe Airtable base/application ID
tableIdOrNameYesThe table ID (tblXXX) or exact name
fieldTypeNoReturn only fields of this type, e.g. "formula", "text", "number", "checkbox"
nameContainsNoReturn only fields whose name contains this substring (case-insensitive)
debugNoWhen true, include raw Airtable response in output for diagnostics
Behavior4/5

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

Annotations already declare readOnly and idempotent; description adds return format details and the effect of debug parameter, but lacks info on potential limits or ordering.

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?

Three concise sentences front-loaded with purpose, followed by usage guidance and filter advice; no wasted words.

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

Completeness5/5

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

For a simple read-only list tool with annotations, the description fully explains what it returns and how to narrow results; no 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 has 100% coverage; description reinforces filter purposes but adds no new semantic details beyond what the schema already provides.

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 lists fields in a table with specific fields (id, name, type, typeOptions) and distinguishes from sibling get_table_schema by noting when to use each.

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

Usage Guidelines5/5

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

It explicitly recommends using this tool instead of get_table_schema when only fields are needed, and advises using filters on large tables to reduce context size.

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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