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List timesheets

kiwihr_list_timesheets
Read-only

Daily timesheets of one employee (or the key's admin user when user_id is omitted) in a date range: expected, tracked, time off, holiday and break time in SECONDS, approval flag, time offs, holidays, entries (start/end, type, note, project) and break-rule violations. GraphQL query timesheets.

Input Schema

NameRequiredDescriptionDefault
limitNoDays per page (1-100, default 50).
offsetNoItems to skip (default 0). The reply's pageInfo.next says whether there is another page.
date_toYesRange end (YYYY-MM-DD).
user_idNoEmployee id. Omit for the admin user the API key acts as.
date_fromYesRange start (YYYY-MM-DD).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
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, so safety is covered. The description adds meaningful behavior beyond that: values are in SECONDS, break-rule violations are surfaced, and omitting user_id falls back to the API key's admin user.

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?

A single dense sentence that front-loads scope (one employee, date range) before the field enumeration; nothing is redundant. The long parenthetical field list is information-dense but slightly harder to scan than a short bulleted structure.

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?

With no output schema, the description usefully enumerates the returned fields, and pagination is handled by the schema's limit/offset descriptions. It lacks any note on permissions or on how the range boundaries are treated, which would round it out fully.

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% — limit, offset, date_from, date_to and user_id are all documented in the schema, including the default-admin fallback. The description adds no parameter detail beyond what the schema already provides, so the baseline 3 applies.

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?

States a specific verb+resource ('Daily timesheets of one employee ... in a date range') and enumerates the returned data (expected/tracked/time off/holiday/break in seconds, approval flag, entries, break-rule violations), so the agent knows exactly what this retrieves. It does not explicitly distinguish itself from the singular kiwihr_get_timesheet sibling, which keeps it from a 5.

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?

Usage is only implied: fetch daily timesheets for one employee over a date range. There is no explicit statement of when to prefer this over kiwihr_get_timesheet (single-day) or kiwihr_list_attendance_statements, and no exclusions or prerequisites are given.

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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