List Columns
list_columnsUse this when the user asks about workflow stages or you need column IDs for another call. Returns columns in board order.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_columnsUse this when the user asks about workflow stages or you need column IDs for another call. Returns columns in board order.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Input schema / $schemaRemoved value: -"https://json-schema.org/draft/2020-12/schema"Input schema / $schemaPrevious value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, openWorldHint=false, and destructiveHint=false, so safety is covered. The description adds one genuine behavioral trait — the results are returned in board order — but says nothing about pagination, filtering, or return shape. With annotations carrying the safety load, this is a modest but real addition.
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?
Two tight sentences with no filler; usage is front-loaded and the return behavior follows. It is appropriately sized for a trivial zero-param tool. The first sentence mixes usage and purpose slightly, but nothing is wasted.
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 zero-parameter, read-only listing tool with no output schema, the description supplies enough: what it returns, in what order, and when to reach for it. It could note whether the result is empty when no board exists, but that is a minor gap.
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 tool takes zero parameters, so per the baseline no parameter explanation is required. The description correctly implies a no-argument listing operation. Nothing is missing or misleading.
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 the specific resource and action ('Returns columns in board order'), so an agent knows this lists board columns. It does not reference a sibling tool for contrast, but no sibling covers columns, so differentiation is not really needed. Clear verb+resource without extra disambiguation.
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?
It gives explicit triggers: 'when the user asks about workflow stages' and 'you need column IDs for another call.' That tells the agent both a user-facing and an internal reason to call it. It stops short of naming exclusions or alternatives, which is not critical here.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.