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airtable-mcp-server

List Tables

list_tables
Read-only

Fetch all tables from a specific Airtable base. Control detail level to get table names only, field and view identifiers, or full schema details.

Instructions

List all tables in a specific base

Input Schema

NameRequiredDescriptionDefault
baseIdYesThe ID of the base
detailLevelNoDetail level for table information: - tableIdentifiersOnly: table IDs and names - identifiersOnly: table, field, and view IDs and names - full: complete details including field types, descriptions, and configurations Note for LLMs: To optimize context window usage, request the minimum detail level needed: - Use 'tableIdentifiersOnly' when you only need to list or reference tables - Use 'identifiersOnly' when you need to work with field or view references - Only use 'full' when you need field types, descriptions, or other detailed configuration If you only need detailed information on a few tables in a base with many complex tables, it might be more efficient for you to use list_tables with tableIdentifiersOnly, then describe_table with full on the specific tables you want.full

Output Schema

NameRequiredDescriptionDefault
tablesYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.14.0

TDQS

C2.9/5.0
Behavior2/5

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

readOnlyHint=true already tells the agent this is a safe read, and the description adds nothing further — no pagination, ordering, or scope behavior. It essentially restates the annotation-provided profile plus the name, so it does not earn credit for added behavioral context.

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?

A single front-loaded clause with zero filler or redundancy. It is efficient, though it is arguably under-specified rather than optimally concise.

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?

An output schema exists, so return values need no explanation, and the parameter schema is rich. Still, the description omits any relation to siblings such as describe_table or list_bases, leaving selection between similar tools to inference.

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 coverage is 100% and the detailLevel enum is exhaustively documented in the schema, including LLM-specific context-window advice. The description adds no parameter meaning beyond that, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('List all tables') scoped to 'a specific base', which is unambiguous on its own. It does not, however, differentiate itself from nearby siblings like describe_table or list_bases, so an agent must infer the boundary.

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 contains no when-to-use guidance, no prerequisites, and no mention of alternatives. The valuable routing advice (use tableIdentifiersOnly plus describe_table instead of full on large bases) lives entirely in the schema's parameter description, not in the tool description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.