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timesheetIO

Timesheet MCP Server

Official
by timesheetIO

Get Statistics

statistics_get
Read-only

Retrieve time tracking statistics, summaries, and reports for a specified date range. Filter by project, team, user, or billing status to get aggregated totals and breakdowns.

Instructions

Use this when the user wants to see time tracking statistics, summaries, or reports for a date range. Returns aggregated totals, project breakdowns, and daily/weekly hour charts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
startDateYesStart date for the statistics period (YYYY-MM-DD)
endDateYesEnd date for the statistics period (YYYY-MM-DD)
projectIdNoFilter statistics for a specific project
projectIdsNoFilter statistics for multiple projects
teamIdNoFilter statistics for a specific team
teamIdsNoFilter statistics for multiple teams
tagIdsNoFilter statistics by tag IDs
userIdsNoFilter statistics by user IDs
filterNoFilter by billing/payment status

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
totalHoursYesTotal hours tracked
billableHoursYesBillable hours
nonBillableHoursNoNon-billable hours
totalTasksNoTotal number of tasks
totalBreakHoursNoTotal break hours
startDateYesPeriod start date
endDateYesPeriod end date
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true. Description adds value by specifying the output includes 'aggregated totals, project breakdowns, and daily/weekly hour charts', giving behavioral context beyond 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?

Two sentences, front-loaded with usage instruction, no redundancy. Every phrase adds value without unnecessary details.

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?

Description covers purpose, usage, and output behavior. Output schema exists so return values are handled externally. Could include a note about default date ranges or pagination, but overall complete for a statistics tool.

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% and each parameter is well-documented in the schema. Description does not add additional meaning beyond the schema, staying at baseline.

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?

Description clearly states 'time tracking statistics, summaries, or reports' with a specific verb 'see' (implied get), resource (statistics), and scope (date range). Distinguishes from sibling tools like report_document_get or absence_list by focusing on aggregated statistics.

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?

Explicitly says 'Use this when the user wants to see time tracking statistics' which provides clear context. Does not mention when not to use it or list alternatives, but the context signals and sibling tools show other report tools exist.

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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