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svijayingle

employee-leave-management-mcp

by svijayingle

delete_leave

Remove an employee's leave record by specifying employee ID and date range. Correct errors or canceled time off with a single request.

Instructions

Delete a leave record for an employee.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
end_dateYes
start_dateYes
employee_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

C2.6/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It states that a record is deleted, but does not mention irreversibility, authorization requirements, behavior for missing records, or whether the operation can be partially applied across the date range.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with no filler or repetition. It is arguably too sparse overall, but as far as structure and wording are concerned, it is appropriately compact.

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

Completeness2/5

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

For a destructive tool with no annotations and three minimally described parameters, the description is too thin. While an output schema exists, the description still omits essential context such as what identifies the target leave record and what consequences deletion has.

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

Parameters1/5

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

Schema description coverage is 0%, and the description adds almost no meaning to employee_id, start_date, or end_date. It does not clarify that these parameters identify the leave record to delete, nor does it specify date formats or matching semantics.

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 uses a specific verb ('Delete') and resource ('leave record') and ties it to an employee, making the core action unmistakable. It does not explicitly contrast with sibling tools, but the only delete operation among the listed siblings is clearly this one.

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?

No guidance is provided on when to use this tool versus alternatives such as add_leave or list_leaves_for_employee. There are no exclusions, prerequisites, or context clues beyond the action itself.

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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