airtable-user-mcp

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

Annotations already indicate this is a non-readonly, non-destructive, non-idempotent operation. The description adds valuable behavioral context beyond annotations: it specifies the return value (generated table ID), describes the initial state (default fields like Name, Notes, etc.), and mentions the debug parameter's effect. No contradiction with annotations exists.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with the core purpose, followed by return value and behavioral details, then a usage tip. Every sentence adds value: the first states the action, the second specifies the output, the third describes the initial state, and the fourth provides a clear next step. No wasted words.

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

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, the description effectively covers the essential context: what it does, what it returns, and what happens after creation. It could be more complete by mentioning potential errors (e.g., duplicate names) or permissions needed, but given the annotations and schema coverage, it's largely sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so parameters are fully documented in the schema. The description doesn't add meaning beyond the schema for 'appId' or 'name', but it does explain the behavioral effect of the 'debug' parameter ('include raw Airtable response in output for diagnostics'), which provides some additional context.

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

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 table') and resource ('in an Airtable base'), distinguishing it from sibling tools like 'list_tables' or 'delete_table'. It provides concrete details about what happens upon creation (returns table ID, starts with default fields).

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

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

The description explicitly mentions using 'list_fields after creation to inspect them', providing clear guidance on next steps. However, it doesn't specify when to use this tool versus alternatives like 'duplicate_table' (not in sibling list) or mention prerequisites like needing base access.

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