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Vijay-Duke
by Vijay-Duke

get_user_time_tracking

Retrieve time tracking worklogs for a user within a date range, with optional project filters and pagination, to support timesheet and worklog reporting.

Instructions

Retrieve time tracking work logs (worklogs) for a specific user. Shows all time entries logged by the user within a date range, useful for timesheet and worklog reporting.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endDateNoEnd date for filtering worklogs (format: YYYY-MM-DD).
startAtNoThe starting index for pagination. Default is 0.
usernameNoThe username of the user (alternative to accountId).
accountIdNoThe Atlassian account ID of the user.
startDateNoStart date for filtering worklogs (format: YYYY-MM-DD).
maxResultsNoThe maximum number of worklogs to return. Default is 50, maximum is 100.
projectKeysNoOptional list of project keys to filter results.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.0.0

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are present, so the description carries full responsibility for behavioral disclosure. 'Retrieve' signals a read-only operation and the date-range wording discloses filtering scope, but the description is silent on whether username/accountId are alternatives or requirements, on pagination behavior, and on response format — material gaps for a tool with seven parameters.

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?

Two short sentences with the primary action front-loaded. The closing 'useful for timesheet and worklog reporting' earns its place by supporting usage guidance, though it mildly restates 'time tracking work logs.'

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?

With no output schema and no annotations, the description should compensate by describing return value shape and invocation requirements, and it doesn't. An agent knows the parameters from the schema, but not what the call returns or how to choose between username and accountId, so the definition is adequate but incomplete.

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 baseline of 3 applies. The description only reiterates the date-range and user concepts already in the schema and adds no meaning that the property descriptions don't already provide (e.g., the schema already notes username is 'alternative to accountId').

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 states a specific verb and resource — 'Retrieve time tracking work logs (worklogs) for a specific user' — and clarifies scope ('within a date range'). It distinguishes worklog retrieval from siblings like get_user_activity_history and read_jira_issue by naming the resource, but it never explicitly contrasts itself with those alternatives.

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?

The phrase 'useful for timesheet and worklog reporting' gives an implied, clear context for when an agent should reach for this tool. However, there is no when-not-to-use guidance and no explicit routing to alternatives such as get_user_activity_history for general user activity.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.