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adityapatel143

Employee Leave Management MCP Server

get_leave_balance

Retrieve total, used, and remaining leave balances for all leave types for an employee by providing their identifier and year.

Instructions

Return the leave balance (total / used / remaining) for all leave types for the specified employee and year.

Args: identifier: Employee code or email. year: Calendar year (e.g. 2025). Defaults to the current year.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearNo
identifierYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description must disclose behavioral traits. It describes the return values but does not state that the operation is read-only (non-destructive) or mention permissions, rate limits, or error handling. The description is adequate but not explicit about side effects.

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 concise with two sentences and a brief Args list. It is front-loaded and every sentence adds value without redundancy.

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?

Given that an output schema exists, the description does not need to detail return structure. It adequately mentions that balance is returned for all leave types. However, it could clarify identifier format or error scenarios for completeness.

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?

With 0% schema description coverage, the description adds meaning: 'identifier' is clarified as employee code or email, 'year' as calendar year with default to current year. This adds value beyond the raw schema fields.

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 the tool returns leave balance (total/used/remaining) for all leave types for a specified employee and year. It uses a specific verb 'Return' and resource 'leave balance', distinguishing it from siblings like get_leave_history or get_leave_request.

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?

The description implies usage for checking leave balances but does not provide explicit guidance on when to use this tool versus alternatives like get_leave_history or get_leave_request. No exclusions or context 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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