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berthelius

Frihet MCP Server

Create Leave Request

leave_request_create

Submit a leave request for an employee using types such as vacation, sick, personal, parental, unpaid, or training. The request is created with a pending status awaiting manager approval.

Instructions

Create a new leave/PTO request for an employee. Types: 'vacation', 'sick', 'personal', 'parental', 'unpaid', 'training'. Dates must be ISO 8601 (YYYY-MM-DD). Status starts as 'pending' awaiting manager approval. / Crea una nueva solicitud de vacaciones/permiso. Estado inicial 'pending' pendiente aprobacion.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYesLeave type slug (vacation, sick, personal, parental, unpaid, training) / Tipo de permiso
reasonNoOptional reason / Motivo opcional
endDateYesEnd date ISO 8601 (YYYY-MM-DD) / Fecha fin
startDateYesStart date ISO 8601 (YYYY-MM-DD) / Fecha inicio
employeeIdYesEmployee ID / ID del empleado

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
typeNoLeave type slug (vacation, sick, personal, etc.)
reasonNo
statusNo
endDateNo
createdAtNo
decidedAtNo
decidedByNo
startDateNo
updatedAtNo
employeeIdNo
durationDaysNo
decisionReasonNo
Behavior4/5

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

Annotations indicate a mutation (readOnlyHint=false) and non-destructive behavior. The description adds value by specifying that the created request starts as 'pending,' which informs the agent about the post-creation state.

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 concise English sentences (plus Spanish translation) that convey all essential information without redundancy. Every sentence serves a purpose.

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 create tool with an output schema, the description adequately covers input behavior (types, dates, initial status). No missing critical information for correct invocation.

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?

Schema coverage is 100% with descriptions for all parameters. The description adds extra meaning by listing the allowed types for 'type' and specifying ISO 8601 format for dates, which is not fully detailed in the schema.

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 clearly states 'Create a new leave/PTO request for an employee' and distinguishes from sibling tools like leave_approve, leave_cancel, etc. It lists leave types and mentions initial status, making the purpose unambiguous.

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 explains that status starts as 'pending' awaiting approval, implying this is the creation step. It does not explicitly state when not to use it, but the context of sibling tools provides adequate guidance.

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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