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update_bucket

Rename a kanban column or change its task limit (0 means unlimited), preserving its position. Reads the full bucket before writing to avoid partial updates.

Instructions

Rename a column, or change how many tasks it accepts.

limit is the most tasks the column takes, and 0 means no limit. Lowering it below the number already there is allowed: Vikunja keeps them and refuses the next move in.

Neither API version has a partial update for a bucket. This reads the column and writes it back whole, and a body with only a title resets limit to 0 on both versions. There is also no endpoint for reading one bucket. The read comes from the view's bucket list, and a bucket_id absent from that view is refused before anything is written.

Position is preserved. To move a column, use the Vikunja web interface: this API exposes no ordering call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
titleNo
view_idNo
bucket_idYes
project_idYes

Schema Changelog

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

  1. Addedv2.0.0

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations provided, the description carries the transparency burden. It discloses full-replacement behavior, the limit reset risk, the refusal when bucket_id is absent from the view, and that position is preserved. This is strong behavioral disclosure, though it does not mention return values or permissions.

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

Conciseness3/5

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

The description is organized into paragraphs and includes useful details, but it is somewhat repetitive and awkwardly phrased, mixing 'column' and 'bucket' terminology. It could be tightened without losing meaning.

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

Completeness3/5

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

The description covers key update semantics, limit behavior, read alternatives, and ordering limitations. However, it lacks explicit guidance on how project_id and view_id relate, and does not describe expected return values or error handling beyond one refusal case. Overall adequate but not fully complete.

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 coverage is 0%, so the description must explain the parameters. It explicitly explains 'limit' and indirectly explains 'title' and 'bucket_id', but leaves 'project_id' and 'view_id' undefined. Given the low schema coverage, this is insufficient for full parameter understanding.

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 clearly states the tool's core purpose: renaming a column (bucket) or changing its task limit. This is specific enough to distinguish it from related bucket operations like create, delete, or list.

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

Usage Guidelines4/5

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

The description provides important usage caveats: there is no partial update, a body with only a title resets limit to 0, reads must come from the view's bucket list, and moving a column must be done via the web interface. It does not explicitly name sibling tools, but the guidance is actionable.

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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