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log_work

Log work time on Jira tickets, specifying duration and optionally type of work and activity.

Instructions

Log work (time) on a Jira ticket, optionally setting WorklogPRO Type of Work and Type of Activity

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
commentNoOptional work log comment
startedNoStart datetime ISO, e.g. '2026-06-29T09:00:00.000+0700'
activityNoType of Activity (required when work_type is set): correct, create, review
ticket_idYesJira issue key, e.g. GEM-234
work_typeNoType of Work: code, deploy, design, fix, management, meeting, misc, operation, qa, req, research, translation
time_spentYesTime spent, e.g. '2h 30m', '1d', '45m'
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as idempotency, permissions required, or side effects. It only states the basic action without deeper transparency.

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?

Single sentence, front-loaded with action, no superfluous words. Efficient and clear.

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?

Missing return value description and error handling context. For a mutation tool with no output schema, the description should explain what the response indicates (e.g., worklog ID), which is absent.

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 coverage is 100%, so the description adds limited value beyond parameter names and descriptions. The mention of WorklogPRO provides minimal extra context, but mostly restates schema info.

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 uses a specific verb ('log') and resource ('work/time on a Jira ticket'), clearly distinguishing it from sibling tools like add_comment or update_ticket.

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 like add_comment or transition_ticket. The description does not mention when not to use it or any prerequisites.

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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