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list_fields

Read-onlyIdempotent

Retrieve all column names and field details from a specific Airtable table to understand data structure and available attributes.

Instructions

List all fields (columns) in a specific table of an Airtable base.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
appIdYesThe Airtable base/application ID
tableIdOrNameYesThe table ID or name to list fields for
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 indicate read-only, non-destructive, idempotent, and closed-world behavior. The description adds value by specifying that it lists 'all fields (columns),' which clarifies scope beyond what annotations provide. However, it does not mention rate limits, authentication needs, or pagination behavior, keeping it from a perfect score.

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, front-loaded sentence that efficiently conveys the tool's purpose without unnecessary words. Every part of the sentence contributes directly to understanding the tool's function, making it highly concise and well-structured.

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

Completeness4/5

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

Given the tool's low complexity (a read-only list operation), rich annotations, and full schema coverage, the description is largely complete. However, the lack of an output schema means the description does not explain return values (e.g., field types or formats), which is a minor gap in context.

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 description coverage is 100%, so the schema fully documents all parameters. The description does not add any parameter-specific details beyond what the schema provides, such as format examples or constraints. This meets the baseline for high schema coverage.

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 specific action ('List all fields') and resource ('in a specific table of an Airtable base'), distinguishing it from siblings like 'list_tables' (which lists tables) and 'get_table_schema' (which might provide broader schema information). The verb+resource combination is precise and unambiguous.

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

Usage Guidelines3/5

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

The description implies usage context by specifying 'in a specific table of an Airtable base,' but it does not explicitly state when to use this tool versus alternatives like 'get_table_schema' or 'list_views.' No exclusions or prerequisites are mentioned, leaving some ambiguity for the agent.

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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