airtable-user-mcp

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

Annotations already declare read-only, non-destructive, and idempotent behavior, but the description adds valuable context: 'lightweight scaffolding data' clarifies the output scope, and 'Uses' implies efficiency. It doesn't contradict annotations and provides operational insight beyond them.

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 two concise sentences with zero waste: the first states the core purpose and output, the second adds behavioral context. It's front-loaded with essential information and appropriately sized for a simple listing tool.

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?

Given the tool's low complexity, rich annotations (covering safety and idempotency), and no output schema, the description is mostly complete. It could improve by hinting at output format or pagination, but 'lightweight scaffolding data' provides adequate context for agent use.

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?

With 100% schema description coverage, the schema fully documents both parameters. The description doesn't add meaning beyond the schema, such as explaining 'appId' format or 'debug' use cases. Baseline 3 is appropriate as the schema handles parameter documentation.

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 verb ('List') and resource ('all tables in an Airtable base') with specific output details ('IDs and names'). It distinguishes from siblings like 'get_base_schema' or 'get_table_schema' by focusing on lightweight table metadata rather than full schema details.

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 implies usage for retrieving basic table metadata with 'lightweight scaffolding data', suggesting it's for quick overviews rather than detailed schema analysis. However, it doesn't explicitly state when to use alternatives like 'get_base_schema' for comprehensive schema or 'get_table_schema' for individual table details.

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