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vk_delete_projects_0a6061600a7c

Delete a kanban bucket from a Vikunja project view. Removes the bucket and dissociates its tasks without deleting them, but cannot remove the last bucket.

Instructions

Deletes an existing bucket. Raw Vikunja REST proxy for DELETE /projects/{projectID}/views/{view}/buckets/{bucketID}. Deletes an existing kanban bucket and dissociates all of its task. It does not delete any tasks. You cannot delete the last bucket on a project. This endpoint does not usually require a request body. Path and query parameters are top-level fields. Original parameter names also accept camelCase and snake_case aliases. Authentication is required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
viewNoProject view ID Required.
bucketIDNoBucket Id Required.
bucketIdNoBucket Id Required.
bucket_idNoBucket Id Required.
projectIDNoProject Id Required.
projectIdNoProject Id Required.
project_idNoProject Id Required.
Behavior5/5

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

With no annotations provided, the description carries the full burden and does so excellently. It discloses that tasks are dissociated but not deleted, the last-bucket restriction, that the endpoint usually requires no request body, parameter alias behavior, and that authentication is required. These are meaningful behavioral traits beyond simply stating the action.

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 concise and well-structured: a clear first sentence states the action, followed by specific details on side effects, constraints, parameter handling, and auth. Every sentence contributes essential information without redundancy or fluff.

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

Completeness5/5

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

For a delete operation with no output schema, the description is complete. It covers the action, side effects, preconditions (last bucket), parameter specifics, and authentication. It gives the agent enough context to invoke the tool safely and understand what will happen.

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

Parameters4/5

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

The schema already covers parameter names and descriptions, so baseline is 3. The description adds significant value by explaining that path/query parameters are top-level fields and that original parameter names accept camelCase and snake_case aliases, which helps the agent construct valid calls with the correct aliases.

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 opens with 'Deletes an existing bucket' and further clarifies 'Deletes an existing kanban bucket', giving a specific verb and resource. It explicitly distinguishes this from deleting tasks or projects, and the REST path leaves no ambiguity. Despite the tool name suggesting projects, the description's clarity earns full marks.

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 clear context: it is for deleting a kanban bucket, not tasks or projects, and states 'You cannot delete the last bucket on a project' as an explicit exclusion. It does not name alternative tools, but the scope and constraints are sufficiently clear for an agent to decide when to use it.

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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