airtable_set_field_permissions

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

No annotations are present, so the description carries the full burden of behavioral disclosure. It does so comprehensively under 'Operational Disclosures': prerequisites (Chrome with --remote-debugging-port=9223, open Grid/Review Queue page), side effects (selects column headers, toggles inline editing switch), and persistence (saved to draft, published separately). It also reveals the underlying CDP automation mechanism, giving agents a clear model of what the tool actually does.

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 well-structured with clear section headers and bullet points. Every sentence earns its place: the purpose statement is front-loaded, use cases are specific, and operational disclosures are dense but non-redundant. Despite being longer than typical descriptions, there is no fluff—each section communicates distinct, necessary information.

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 5-parameter automation tool with no annotations and no output schema, the description covers all critical operational context: prerequisites, side effects, persistence, and relationship to publishing. It also clarifies which interface types are affected (Grid/Record Review) and which are not. Failure/return behavior is not described, but for a side-effect-driven CDP tool that is a minor gap; the provided context is otherwise complete.

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% and each parameter already has a clear description with examples (e.g., locked_columns/editable_columns explain ON/OFF toggling). The tool description reinforces these semantics through 'When to Use' examples but does not add meaning beyond what the schema already provides. Baseline 3 is appropriate for full 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 opens with a precise verb+resource statement: 'Sets column-level inline editing permissions on Grid and Record Review interfaces by toggling "Edit this column inline" ON or OFF via Chrome CDP browser automation.' It also explicitly differentiates from siblings in 'When NOT to Use', naming airtable_configure_kanban and airtable_configure_detail_sheet, so an agent can distinguish it without inspecting schemas.

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 provides a dedicated 'When to Use' section with concrete scenarios (locking identifiers, protecting raw intake, keeping decision gates editable) and a 'When NOT to Use' section naming exact alternative tools for Kanban badges and side-sheet popups. This is explicit, actionable guidance with zero reliance on inference.

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