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Get attendance statement

kiwihr_get_attendance_statement
Read-only

Attendance summary of ONE employee over a date range: expected, tracked, total, time off and holiday time (seconds) and days, balance, overtime, meal vouchers, and tracked time per project. GraphQL query attendanceStatement.

Input Schema

NameRequiredDescriptionDefault
date_toYesRange end (YYYY-MM-DD).
user_idYesEmployee id.
date_fromYesRange start (YYYY-MM-DD).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already cover the safety profile (readOnlyHint=true, destructiveHint=false, openWorldHint=true), so the description is not carrying that burden. It adds useful substance — units in seconds, per-project tracked time breakdown, and the underlying GraphQL query — but says nothing about pagination, permissions, or empty-range behavior.

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 front-loaded sentence that establishes resource, scope, and query source before enumerating returned fields. The field enumeration is dense but earns its place given there is no output schema.

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, enumerating the returned metrics (expected, tracked, balance, overtime, meal vouchers, per-project time) is the right compensating move, and annotations cover safety. The main omission is routing guidance versus the list-level sibling.

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% with all three params required and documented (user_id, date_from/date_to with YYYY-MM-DD patterns), so the schema already does the heavy lifting. The description adds only the concept of a date range and the output units, not parameter syntax or constraints beyond the schema.

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 ('Attendance statement') with explicit scope: ONE employee over a date range, plus the GraphQL query name. The capitalized 'ONE' implicitly contrasts with the plural sibling kiwihr_list_attendance_statements, but the sibling is never named, so differentiation relies on inference.

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?

There is no explicit when-to-use or when-not guidance. Despite a closely related sibling (kiwihr_list_attendance_statements) existing, the description never tells the agent which to pick; only the single-employee scope hints at the split.

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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