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tasks_create

Create a new ClickUp task in a specified list, setting name, description, assignees, status, dates, priority, tags, and more.

Instructions

Create a new task in a ClickUp list with specified properties like name, description, assignees, status, and dates.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesThe name of the task
tagsNoThe tags to add to the task
parentNoThe ID of the parent task
statusNoThe status of the task
list_idYesThe ID of the list to create the task in
due_dateNoThe due date of the task (Unix timestamp)
priorityNoThe priority of the task (1-4)
assigneesNoThe IDs of the users to assign to the task
task_typeNoTask type name — e.g. "Bug", "Feature", "Milestone". Must match an existing task type in the workspace.
notify_allNoWhether to notify all assignees
start_dateNoThe start date of the task (Unix timestamp)
descriptionNoThe description of the task
due_date_timeNoWhether the due date includes a time
time_estimateNoThe time estimate for the task (in milliseconds)
start_date_timeNoWhether the start date includes a time
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 only states that it creates a task, without mentioning side effects, required permissions, irreversibility, or what the function returns. This lack of context is a significant gap for a mutation tool.

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 a single, clear sentence with no redundancy or filler. It efficiently conveys the core purpose and key property examples, earning a high score for conciseness and structure.

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?

With 15 parameters but full schema coverage, the description is adequate for identifying the purpose and available fields. However, since there is no output schema, the description does not clarify what the tool returns (e.g., created task object or ID), and it omits any preconditions or usage context. This is acceptable but leaves some gaps.

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 already provides descriptions for all 15 parameters (100% coverage). The tool description adds minimal value by listing example properties like 'name, description, assignees, status, and dates' but does not explain any parameter semantics beyond what the schema already provides. Baseline 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 clearly states the action ('Create a new task') and the target resource ('in a ClickUp list'), and it lists several example properties. However, it does not explicitly differentiate from the sibling tool 'tasks_create_bulk', though the phrase 'a new task' implies a single-task creation, which is a minor distinction gap.

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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention bulk creation or other related tools, leaving the agent to infer usage from the name alone. There are no explicit usage recommendations or exclusions.

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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