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clickup_action

Interact with ClickUp API v2 to list workspaces, spaces, lists, tasks, and create or update tasks.

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 must carry the burden of disclosing behavioral traits. The description does not mention side effects (e.g., create and update are write operations), authentication requirements beyond the api_key, rate limits, or idempotency. This leaves the agent without critical 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, concise sentence that lists the major actions. It is front-loaded with the API version and clear action categories. However, the phrase 'Interact with' is vague, and a more structured list could be marginally clearer.

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 13 parameters and multiple actions, yet the description provides no guidance on action sequencing or parameter dependencies (e.g., need team_id for get_spaces). Lacking an output schema, the description should help the agent understand the logical workflow, but it does not.

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 does not add any meaning beyond what the schema already provides for each parameter. It only gives a high-level overview without elaborating on parameter constraints or usage patterns. Thus, it meets the baseline but does not exceed it.

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 clearly states the tool is for interacting with the ClickUp API v2 and enumerates the key actions (list, get, create, update). It effectively communicates the scope and purpose. However, it could be slightly more specific about the API endpoints and does not differentiate from sibling tools, though the tool name already distinguishes it.

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?

There is no explicit guidance on when to use this tool versus alternatives. The description implies that it should be used for ClickUp API interactions, but it does not provide context for choosing between actions or when to use other tools. The action enum provides some direction, but the description lacks explicit usage context.

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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