airtable-user-mcp

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

The annotations already provide clear behavioral hints (mutable, non-destructive, idempotent, closed-world), so the description doesn't need to repeat these. However, it adds valuable context by specifying the scope ('individual columns') and contrasting with another tool, which helps the agent understand the tool's specific behavior beyond the annotations. No contradictions with annotations exist.

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 extremely concise with only two sentences, both of which add clear value: the first states the purpose, and the second provides sibling differentiation. There is no wasted text, and it is front-loaded with the core functionality.

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 annotations cover key behavioral traits (mutable, non-destructive, idempotent) and the schema fully documents parameters, the description provides sufficient context by clarifying the tool's scope and sibling relationship. However, without an output schema, it doesn't describe return values, leaving a minor gap in completeness.

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?

The schema description coverage is 100%, meaning all parameters are well-documented in the input schema. The description does not add any additional parameter semantics beyond what the schema provides, such as explaining the format of columnIds or when to use debug. 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.

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

The description clearly states the action ('show or hide'), the target ('specific fields (columns) in a view'), and distinguishes it from a sibling tool ('Unlike show_or_hide_all, this targets individual columns'). This provides a specific verb+resource combination with explicit sibling differentiation.

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 provides usage guidance by stating when to use this tool versus an alternative: 'Unlike show_or_hide_all, this targets individual columns.' This gives clear context for choosing between sibling tools based on scope (individual vs. all columns).

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