airtable-user-mcp

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

Annotations provide key hints (readOnlyHint=false, destructiveHint=false, idempotentHint=true), so the description doesn't need to repeat these. It adds value by explaining that an empty array clears grouping, which is a behavioral trait not covered by annotations. However, it misses details like error conditions or response format, limiting transparency.

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 two sentences that directly convey the tool's function and a key usage note. It is front-loaded with the main purpose and wastes no words, making it efficient and easy to parse.

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 4 parameters) and lack of output schema, the description is somewhat incomplete. It covers the basic action and a clearing behavior but omits details like what happens on success/failure or the return format. Annotations help with safety, but more context would improve completeness for a mutation tool.

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 parameters like 'appId', 'viewId', and 'groupLevels'. The description adds minimal semantics by noting that an empty array clears grouping, but this is partially redundant with the schema's description of 'groupLevels'. Baseline 3 is appropriate as the schema does the heavy lifting.

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 ('Set grouping on a view') and specifies the resource ('a view'), making the purpose immediately understandable. It distinguishes from siblings like 'update_view_filters' or 'reorder_view_fields' by focusing on grouping, though it doesn't explicitly contrast with them.

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 by mentioning 'Pass an empty array to clear grouping,' which suggests when to use it for clearing vs. setting groups. However, it lacks explicit guidance on when to choose this tool over alternatives like 'update_view_filters' or prerequisites for use, leaving some context to inference.

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