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clickup_time_create

Manually record historical time entries in ClickUp for offline work or backfilling. Specify start time, duration, and optional task details to create fixed time tracking records.

Instructions

Manually record a historical time tracking entry with a fixed start and duration. Use this for backfilling time (e.g. work done offline). For live timing use clickup_time_start/stop instead. Returns the created time entry object including its new id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
billableNotrue = mark as billable (shows with $ in reports); false or omitted = non-billable.
descriptionNoFree-text description of the work logged. Optional.
durationYesDuration in milliseconds (e.g. 3600000 for one hour).
startYesEntry start time as a Unix timestamp in milliseconds (e.g. 1735689600000 for 2025-01-01 00:00 UTC).
task_idNoID of the task to attribute the time to. Obtain from clickup_task_list. Omit for a task-less time entry.
team_idNoWorkspace (team) ID. Obtain from clickup_workspace_list (field: id). Omit to use the default workspace from config.
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes the tool's purpose (historical time entry creation), mentions the return value ('Returns the created time entry object including its new id'), and distinguishes it from live timing tools. However, it doesn't mention authentication requirements, rate limits, or error conditions.

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 perfectly structured with three focused sentences: purpose statement, usage guidance, and return value information. Every sentence earns its place with zero wasted words, making it highly efficient and front-loaded.

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

Completeness4/5

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

For a creation tool with no annotations and no output schema, the description does well by explaining the tool's purpose, when to use it, and what it returns. However, it could provide more context about authentication requirements, error handling, or the structure of the returned time entry object to be fully complete.

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 schema already documents all 6 parameters thoroughly. The description doesn't add any parameter-specific information beyond what's in the schema descriptions, maintaining the baseline score of 3 for high schema coverage.

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 clearly states the specific action ('Manually record a historical time tracking entry') and resource ('time tracking entry'), distinguishing it from sibling tools like clickup_time_start/stop for live timing. It explicitly identifies this as a backfilling tool for offline work.

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

Usage Guidelines5/5

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

The description provides explicit guidance on when to use this tool ('for backfilling time (e.g. work done offline)') and when to use alternatives ('For live timing use clickup_time_start/stop instead'). This gives clear context for tool selection.

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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