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get_vakante_duty_details

Retrieve complete shift details for a vacant duty using its ID, including times, workplace, and role assignments.

Instructions

Returns full shift details for a single vacant duty entry.

Use idVacantDuty from get_rosters_preload → vacantDutiesOccupied.data.duties[].idVacantDuty

Returns: { day, from, to, employeeId, entries: [{ shortName, // duty code nameWorkplace, shortNameWorkplace, nameShiftType, nameRole, from, to, // UTC shift start/end times stringDuration, // e.g. "12h00" genehmigungsebene }] }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idVacantDutyYesVacant duty ID from vacantDutiesOccupied or vacantDutiesAssumed
Behavior4/5

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

With no annotations, the description must carry the behavioral transparency burden. It clearly indicates this is a read operation ('Returns'), documents the return shape, and adds context like UTC times and duration format. It does not mention failure modes or side effects, but for a simple read with a well-defined output, this is strong.

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?

The description is efficiently structured: a one-sentence purpose, a concise usage pointer, and a compact return schema with inline comments. No filler or redundancy; every line contributes to understanding the tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple one-parameter read tool with no output schema, the description is complete: it states what it does, where to get the parameter, and precisely what the response contains. It provides enough detail for an agent to select and invoke the tool successfully, and even to interpret the response fields.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema already covers the parameter with a description (100% coverage). The tool description adds significant value by pinpointing the exact source (get_rosters_preload → vacantDutiesOccupied.data.duties[].idVacantDuty), which is more actionable than the schema's generic mention of 'vacantDutiesOccupied or vacantDutiesAssumed'.

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 opens with a specific verb+resource: 'Returns full shift details for a single vacant duty entry.' This clearly distinguishes it from siblings like get_rosters_preload (which preloads a list) and get_abteilungsdienstplan (a department plan). The scope ('single vacant duty') is explicit.

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?

The description explicitly instructs the agent to obtain idVacantDuty from get_rosters_preload and provides the exact response path. This gives a clear 'when to use' (after preloading). However, it does not explicitly mention when not to use or name alternative tools for different scenarios, so it falls short of a 5.

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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