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list_fields

Read-onlyIdempotent

List fields in an Airtable table with id, name, type, and typeOptions. Filter by field type or name substring to reduce output.

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

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Addedv1.0.6
  2. Removedv1.0.3
  3. First observedv1.0.0

TDQS

A4.5/5.0
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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