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create_bucket

Add a column to a project's kanban view, placing it at the far right. Optionally set a task limit to control how many tasks the column accepts.

Instructions

Add a column to a project's kanban view. It goes on the right-hand end.

limit caps how many tasks the column accepts, and moves into a full one are refused; leave it out, or pass 0, for no limit.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
titleYes
view_idNo
project_idYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.2.0

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations available, the description carries the burden of behavioral disclosure. It does add useful behavior: the column appears at the right-hand end, and a limit caps accepted tasks, with moves into a full column refused. However, it does not mention permissions, success response, irreversibility, or what happens if the limit is omitted beyond the limit semantics.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded: the first sentence states the core purpose, and the following sentences add necessary behavioral detail. There is no filler or repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has four parameters, no annotations, and no output schema, so the description needs to provide more contextual grounding. It misses explanation of `view_id` in relation to `project_id`, and it does not describe the return value or expected outcome from a successful call, leaving an agent under-informed for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It only explains the `limit` parameter, and even that is not fully precise about default behavior. `title`, `project_id`, and especially `view_id` are not described, leaving important parameter relationships unexplained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action — add a column — with a clear target resource (a project's kanban view). This distinguishes it from sibling tools like delete_bucket, list_buckets, and move_task_to_bucket, so an agent can tell what this tool is for.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use the tool: when adding a column to a project's kanban view. However, it does not explicitly discuss alternatives, prerequisites, or when not to use it, leaving the routing logic mostly implicit.

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

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