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clickup_action

List workspaces, spaces, lists, and tasks; create and update tasks using the ClickUp API to manage your project workflow.

Instructions

Interact with the ClickUp API v2: list workspaces and spaces, get lists and tasks, create tasks, and update task properties.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesAction: get_workspaces, get_spaces, get_lists, get_tasks, create_task, update_task.
api_keyYesClickUp API key.
team_idNoWorkspace (team) ID (for get_spaces).
space_idNoSpace ID (for get_lists without a folder).
folder_idNoFolder ID (for get_lists).
list_idNoList ID (for get_tasks and create_task).
task_idNoTask ID (for update_task).
nameNoTask name (for create_task and update_task).
descriptionNoTask description.
statusNoTask status name.
priorityNoPriority: 1 (urgent), 2 (high), 3 (normal), 4 (low).
due_dateNoDue date as Unix timestamp in milliseconds.
pageNoPage number for task pagination.
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 behavioral disclosure. It does not mention side effects (e.g., task creation is destructive), rate limits, authentication needs, or the fact that actions are mutually exclusive. The description only lists actions without 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 a single sentence that efficiently conveys the tool's purpose and the list of actions. It is front-loaded and concise, though a structured list could improve clarity.

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?

With 13 parameters and no output schema, the description is insufficient for an AI agent to understand parameter dependencies or expected outputs. It does not explain when each parameter is required (e.g., 'team_id' for get_spaces) or the nature of the response. This is a significant gap for a complex tool.

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?

The input schema has 100% description coverage for all parameters, so the schema already documents their meaning. The description adds no extra semantic value beyond listing the actions. Baseline score of 3 is appropriate.

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 states it interacts with the ClickUp API v2 and lists specific actions (list workspaces, spaces, get lists, tasks, create tasks, update tasks), making the purpose clear. However, it does not differentiate from similar project management sibling tools like 'asana_action' or 'trello_action', relying on the tool name for distinction.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives. It does not specify that it should be used exclusively for ClickUp-related tasks, nor does it mention limitations or prerequisites beyond the required 'api_key' parameter.

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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