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adityapatel143

Employee Leave Management MCP Server

apply_for_leave

Submit a leave request on behalf of an employee. Provide employee code or email, leave type, start and end dates, and optional reason.

Instructions

Submit a leave request on behalf of an employee.

Args: identifier: Employee code (e.g. "EMP001") or email. leave_type: Type of leave — use list_leave_types() for valid values (e.g. "Annual", "Sick", "Casual"). start_date: First day of leave in YYYY-MM-DD format. end_date: Last day of leave in YYYY-MM-DD format. reason: Optional reason for the leave request.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
reasonNo
end_dateYes
identifierYes
leave_typeYes
start_dateYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as required authorization, side effects (e.g., triggers approval workflow), or idempotency. For a submission tool, this is a significant gap.

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 well-structured with a leading sentence and concise bullet points for each parameter. Every sentence adds value without redundancy.

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

Completeness3/5

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

Given the tool's complexity (5 params, no enums) and the existence of an output schema, the description covers parameter details but lacks behavioral context (e.g., what happens after submission). It is minimally sufficient but incomplete.

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

Parameters5/5

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

The description compensates for 0% schema coverage by explaining each parameter's meaning and format. It gives examples for identifier (EMP001/email), references list_leave_types() for leave_type, and specifies YYYY-MM-DD format for dates.

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 'Submit a leave request' which is a specific verb and resource. It distinguishes from sibling tools like approve_leave_request, cancel_leave_request, etc., by focusing on submission.

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 provides clear guidance on when to use: to submit a leave request. It also directs users to list_leave_types() for valid leave_type values. However, it does not explicitly mention when not to use it or alternatives for other actions like approval.

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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