Skip to main content
Glama

get_leave_balance

Check remaining leave days for an employee by providing their ID to view available time off.

Instructions

Check how many leave days are left for the employee

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
employee_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It implies a read-only operation ('check'), but doesn't specify if it requires authentication, has rate limits, returns data in a specific format, or handles errors. This is a significant gap for a tool with no annotation coverage.

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 a single, efficient sentence that front-loads the core purpose without unnecessary words. Every part earns its place by clearly stating what the tool does, making it highly concise and well-structured.

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 low complexity (one parameter) and the presence of an output schema (which handles return values), the description is minimally adequate. However, it lacks context on usage versus siblings and behavioral details, making it incomplete for optimal agent guidance without additional structured data.

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?

The schema description coverage is 0%, but the description mentions 'for the employee', which hints at the 'employee_id' parameter's purpose. However, it doesn't add details like format or constraints beyond what's implied. With one parameter and low coverage, this provides minimal compensation, aligning with the baseline.

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?

The description clearly states the action ('check') and resource ('leave days left for the employee'), making the tool's purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'get_leave_history' which might also involve checking leave information, so it misses the highest score.

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?

The description provides no guidance on when to use this tool versus alternatives like 'get_leave_history' or 'apply_leave'. It lacks context about prerequisites, such as needing an employee ID, or any exclusions, leaving the agent to infer usage from the tool name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/umamaheswararao04/leavemanager-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server