list_columns
Retrieve all columns or stages for a specified Kaiten board by providing its board ID.
Instructions
List all columns (stages) of a Kaiten board.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| board_id | Yes | Board ID |
Retrieve all columns or stages for a specified Kaiten board by providing its board ID.
List all columns (stages) of a Kaiten board.
| Name | Required | Description | Default |
|---|---|---|---|
| board_id | Yes | Board ID |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It only states 'List all columns', which implies a read operation but does not mention return structure, pagination, sorting, error handling, or access requirements. For a simple operation this is minimal but non-contradictory.
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 a single, front-loaded sentence with no wasted words. It conveys the essential information—what the tool does and its scope—efficiently.
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 simple read-only tool with one parameter and no output schema, the description is adequate: it states the operation, the resource, and the input. It does not mention return format, but that is not necessary given the simplicity. It could be improved by mentioning that it returns a list of column details, but the current state is sufficient.
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% — the schema describes board_id as 'Board ID' and its type. The description adds no extra parameter semantics, but the baseline is 3 because the schema already covers the parameter fully.
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 verb 'List' and the resource 'columns (stages)' scoped by 'of a Kaiten board'. It is unambiguous about what the tool does. However, it does not explicitly differentiate from sibling tools like list_boards or list_lanes, so the distinction is left to the name.
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?
There is no guidance on when to use this tool versus alternatives. The description does not mention any conditions, prerequisites, or alternative tools. An agent must infer that this is the right tool for listing columns, which is not explicitly stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/theYahia/kaiten-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server