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Sushmitha26

Employee Leave Management MCP Server

by Sushmitha26

approve_leave

Approve a pending employee leave request and automatically deduct the approved days from the employee's available leave balance.

Instructions

Approve a pending leave request and deduct the days from the balance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNo
request_idYes
approver_idYes
Behavior3/5

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

With no annotations provided, the description carries the burden of behavioral disclosure. It does disclose the key side effect (deducting days from the balance), which is valuable. However, it doesn't state whether approval is reversible, what happens if the balance is insufficient, whether approver permissions are required, or what the response looks like.

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 tight sentence that efficiently delivers the core purpose and the key side effect. No wasted words. However, given the number of undocumented parameters, slightly more length for parameter clarification could be justified.

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 mutating action (approving with balance deduction) with no annotations, no output schema, and 0% parameter coverage, the description is insufficient. It should clarify prerequisite state (pending only), approver authorization requirements, irreversible nature, and param semantics. The description covers the core behavior but leaves significant operational gaps.

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

Parameters2/5

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

Schema description coverage is 0% and no parameters are documented in the description. The description implies request_id is the leave request being approved and approver_id is the authorized approver, but add no explicit parameter-level semantics. The note parameter is entirely unexplained. With three parameters and zero coverage, the description should compensate but largely doesn't.

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 verb (approve), resource (pending leave request), and a key behavioral consequence (deducts days from balance). This distinguishes it from siblings like reject_leave and cancel_leave, though it doesn't explicitly name those alternatives.

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 says this targets 'pending' leave requests, which provides some context on when to use it, but offers no explicit guidance on when not to use it or how it differs from reject_leave/cancel_leave. No alternative tools are named. For a tool with a sibling set including reject and cancel, better differentiation would be expected.

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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