Leave Management MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_leave_balanceA | Check how many leave days are left for the employee |
| apply_leaveA | |
| get_leave_historyC | Get leave history for the employee |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 3 tools
Each tool targets a distinct aspect of leave management: balance, application, and history. There is no overlap in purpose, though descriptions are somewhat minimal. Overall, an agent can easily tell them apart.
All three tools follow a verb_noun pattern (get_leave_balance, apply_leave, get_leave_history). The verb 'get' is used for two tools, which is acceptable since they retrieve different resources. No mixed conventions or chaotic naming.
Three tools is on the low side for a typical MCP server, but for a focused leave management domain it covers the core actions. It feels slightly thin, but each tool earns its place. The count is borderline but justifiable.
The server provides basic leave operations (check balance, apply, view history) but lacks essential actions like cancel/withdraw a leave request, approve/reject (for managers), or update a pending request. These gaps could cause agent failures in real workflows.