airtable_configure_kanban

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

With no annotations provided, the description carries the full burden. It discloses prerequisites (Chrome remote debugging on 9223, existing Kanban page), side effects (clicks sidebar, selects dropdown, toggles badges), and persistence semantics (saved to draft, not live until published via airtable_publish_interface). This goes well beyond what a bare 'Configures' statement would imply and covers the risk profile for an automation 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 moderately long but well-structured into sections (When to Use, When NOT to Use, Operational Disclosures) that each earn their place. The bullet lists include redundant examples, but they aid selection without bloating. Front-loading the core action statement keeps the most important info first.

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 no output schema, no annotations, and a tool that drives Chrome CDP, the description covers all critical operational context: prerequisites, exact side effects, persistence model, and explicit exclusions that route to siblings. An agent has enough to decide, call correctly, and avoid dangerous side effects (e.g., publishing without user intent).

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 coverage is 100% (every parameter has a description), so baseline is 3. The description does not add parameter-level semantics beyond the schema, but it implicitly orients the agent by tying examples ('Status', 'Stage') and card fields ('Store Name', 'Plan') to usage scenarios. It corrects nothing the schema lacks, so no score above baseline.

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 states a specific verb+resource ('Configures an existing Kanban board page in Interface Designer') with concrete actions ('setting the stage-stacking singleSelect column and enabling front-of-card badges'). It distinguishes from siblings via explicit not-to-use guidance referencing airtable_create_interface_page, airtable_configure_detail_sheet, and airtable_set_field_permissions, so an agent can tell it apart without opening 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 'When to Use' section lists concrete scenarios (Lead Pipeline, Candidate Tracker) and field types (single-select), while 'When NOT to Use' explicitly names alternative tools and the conditions that route to them. The operational disclosures add prerequisites (Chrome on port 9223, existing page), leaving no ambiguity about when this tool is appropriate.

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