airtable-user-mcp

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

Annotations already indicate this is a non-destructive, idempotent mutation (readOnlyHint=false, destructiveHint=false, idempotentHint=true). The description adds context about what gets updated ('change formula text, rollup settings, etc'), which is useful beyond annotations. However, it doesn't mention permission requirements, rate limits, or error handling, which would be valuable for a mutation tool.

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 sentence states the purpose, and the second provides specific examples, making it front-loaded and efficient. Every word earns its place without redundancy.

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 complexity (mutation with 5 parameters, nested objects) and rich annotations (covering safety and idempotency), the description is mostly complete. It lacks output details (no output schema) and doesn't cover all behavioral aspects like permissions, but it adequately complements the structured data for core functionality.

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 the schema fully documents all 5 parameters. The description adds no specific parameter details beyond implying fieldType values and typeOptions usage, which are already in the schema. Baseline 3 is appropriate as the schema carries the burden, and the description doesn't compensate with extra semantics.

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 'update' and resource 'configuration of any computed field', with specific examples of field types (formula, rollup, lookup, count) and what can be changed (formula text, rollup settings). It distinguishes from siblings like update_formula_field by covering multiple field types, though it doesn't explicitly contrast with all sibling tools.

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 computed fields only ('formula, rollup, lookup, count, etc'), suggesting when to use it versus tools for non-computed fields. However, it doesn't explicitly state when NOT to use it (e.g., for non-computed fields) or name alternatives like update_field_description for other field updates, leaving some ambiguity.

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