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chmald
by chmald

lists

Manage Planka board columns: retrieve details, create new ones, update settings, or delete them. Each column contains cards.

Instructions

Manage Planka lists. Lists are columns on a board that contain cards.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoList ID (for get, update, delete) or Board ID (for create, use boardId in data) (required for: get, update, delete)
dataNoList data: { name: string, boardId?: string (for create), position?: number, type?: 'active'|'closed' } (required for: create, update)
actionYesAction to perform: 'get' - Get list details and cards; 'create' - Create a new list on a board; 'update' - Update list settings; 'delete' - Delete a list
Behavior2/5

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

No annotations are provided, so the description carries the full burden of disclosing behavioral traits. The description only says 'Manage Planka lists' and defines what a list is; it does not disclose side effects of create/update/delete, permission requirements, reversibility, or return values. The schema describes actions, but the description adds no behavioral context.

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

Conciseness4/5

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

The description is concise, with two short sentences that contain relevant information without waste. It is front-loaded with the core purpose and then clarifies the domain concept. However, it is quite brief, which limits its helpfulness but does not detract from conciseness.

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 handles four distinct CRUD actions on a nested object schema, yet the description provides only a minimal definition. With no output schema or annotations, the description is incomplete for guiding an AI agent on when to use each action or what outcomes to expect. The schema partially fills this gap, but the description itself is too thin for the tool's complexity.

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

Parameters3/5

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

Schema description coverage is 100%, so the baseline is 3. The description itself adds no parameter-specific meaning beyond the schema; it only provides the general context that lists are columns on a board. The schema already provides sufficient detail for id, data, and action, so the description does not need to compensate.

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

Purpose4/5

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

The description 'Manage Planka lists' clearly specifies a verb and resource, and the additional sentence 'Lists are columns on a board that contain cards' helps distinguish this tool from the sibling tools for boards and cards. However, it does not enumerate the specific actions (get/create/update/delete) which are only available in the schema, so it is clear but not fully self-contained.

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 phrase 'Lists are columns on a board that contain cards' implies that this tool handles list-level operations, but there is no explicit guidance on when to use this tool versus alternatives like cards or boards. No exclusions or alternative tool names are mentioned, so usage context is only weakly implied.

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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