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list_views

Read-onlyIdempotent

Retrieve all views from an Airtable table with their IDs, names, and types to manage table organization and access different data perspectives.

Instructions

List all views in a specific table with their IDs, names, and types.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
appIdYesThe Airtable base/application ID
tableIdOrNameYesThe table ID or name
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 already cover key behavioral traits (read-only, non-destructive, idempotent, closed-world), so the description adds minimal value. It does specify the output format ('IDs, names, and types'), which is useful context not in annotations, but doesn't address other aspects like rate limits, authentication needs, or pagination behavior.

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, efficient sentence that front-loads the core action and output. Every word contributes directly to understanding the tool's function without redundancy or unnecessary elaboration.

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?

Given the annotations cover safety and idempotency, and the schema fully describes parameters, the description is adequate for a simple read operation. However, without an output schema, it should ideally provide more detail on the return structure (e.g., format of the list, pagination) to be fully complete.

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 input schema fully documents all parameters (appId, tableIdOrName, debug). The description doesn't add any parameter-specific details beyond implying the tool operates on a table, which is already clear from the schema. 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.

Purpose4/5

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

The description clearly states the verb ('List') and resource ('all views in a specific table') with specific attributes ('IDs, names, and types'), making the purpose unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'list_tables' or 'list_fields', which would require mentioning it's specifically for views rather than other table components.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites like needing a valid appId and tableIdOrName, nor does it contrast with related tools such as 'get_table_schema' (which might include view information) or 'list_fields' (for different table elements).

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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