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jais2402
by jais2402

Start a timer on a task

everhour_start_timer

Start time tracking on an Everhour task by providing the task ID or Asana task GID. Optionally set the date and add a comment.

Instructions

Start the active timer on an Everhour task. Only one timer can run at a time per user; starting a new one stops the previous.

Args:

  • task_id (string, optional): Everhour task ID. Use this OR asana_task_gid.

  • asana_task_gid (string, optional): Asana task GID. Will be resolved to 'as:'.

  • user_date (string, optional): YYYY-MM-DD, the user's local date. Defaults to today.

  • comment (string, optional): Note attached to the running timer.

  • response_format ('markdown' | 'json'): Output format

You must provide exactly one of task_id or asana_task_gid.

Returns the timer state (status='active', task, startedAt, today seconds, duration).

Examples:

  • "Start tracking Asana ticket 1208034567890123" → asana_task_gid='1208034567890123'

  • "Start a timer on task as:1208... with comment 'investigating bug'" → task_id='as:1208...', comment='investigating bug'

Error Handling:

  • 404 → task not found / not synced into Everhour

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
commentNoOptional note attached to the timer.
task_idNoEverhour task ID. For Asana-synced tasks the ID is 'as:<asanaGid>' (e.g. 'as:1208034567890123').
user_dateNoThe user's local date the timer is associated with. Defaults to today.
asana_task_gidNoAsana task GID (numeric string). Found in the Asana task URL after /0/.
response_formatNoOutput format: 'markdown' for human-readable text or 'json' for machine-readable structured datamarkdown
Behavior4/5

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

Annotations already indicate non-read-only and non-destructive behavior. The description adds value by explaining that starting a new timer stops the previous one and details the return state. No contradiction with annotations.

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 concise, well-structured with clear sections for args, return, examples, and errors. Every sentence adds value.

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

Completeness5/5

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

Given the absence of an output schema, the description covers purpose, parameters, behavior, return value, and error handling, making it fully actionable for an AI agent.

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

Parameters4/5

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

Schema coverage is 100%, so baseline is 3. The description adds context on mutual exclusivity, format examples, and default values, going beyond the schema alone.

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 action ('Start the active timer on an Everhour task') and distinguishes from sibling tools like everhour_stop_timer by noting that only one timer can run at a time.

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

Usage Guidelines4/5

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

The description specifies that exactly one of task_id or asana_task_gid must be provided, includes examples, and mentions error handling. It could explicitly state when not to use it, but the context is sufficient.

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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