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create_view

Create custom views in Airtable tables to organize data as grids, forms, kanban boards, calendars, galleries, gantt charts, or lists. Copy existing view configurations to maintain consistent layouts across your base.

Instructions

Create a new view in an Airtable table. Optionally copy configuration from an existing view. View types: "grid", "form", "kanban", "calendar", "gallery", "gantt", "levels" (list view).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
appIdYesThe Airtable base/application ID
tableIdYesThe table ID to create the view in
nameYesName for the new view
typeNoView type: "grid", "form", "kanban", "calendar", "gallery", "gantt", "levels" (list). Default: "grid".
copyFromViewIdNoOptional: view ID to copy configuration from (creates a fresh view with same settings).
debugNoWhen true, include raw Airtable response in output for diagnostics
Behavior3/5

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

Annotations indicate this is a non-readOnly, non-destructive, non-idempotent operation, which the description aligns with by using 'Create'. The description adds value beyond annotations by specifying the available view types and the optional copy feature, but doesn't cover permissions, rate limits, or mutation consequences.

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 extremely concise—two sentences that efficiently convey the core functionality and key options. Every word earns its place with no redundancy or fluff, making it easy to parse quickly.

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?

For a creation tool with no output schema and full annotation coverage, the description adequately covers the what and how. However, it lacks context on error handling, response format, or integration with sibling tools, leaving some gaps for an agent to infer behavior.

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?

With 100% schema description coverage, the schema already documents all 6 parameters thoroughly. The description adds minimal value by mentioning the optional copy feature and listing view types, which are already covered in the schema's type parameter description. Baseline 3 is appropriate.

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 ('Create a new view') and resource ('in an Airtable table'), distinguishing it from sibling tools like duplicate_view or update_view_description. It also specifies the scope of view types available, making the purpose 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 by mentioning 'Optionally copy configuration from an existing view' and listing view types, but it doesn't explicitly state when to use this tool versus alternatives like duplicate_view or update_view_description. No exclusions or prerequisites are provided.

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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