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AniketDonode

Leave Manager

by AniketDonode

approve_leave_request

Approve an employee's leave request by providing the request ID and approver name. This action records the approval in the Leave Manager system.

Instructions

Approve a leave request

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
request_idYes
approver_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

D1.8/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden, yet it discloses nothing about authorization requirements (who may approve), irreversibility of the state change, side effects such as notifications to the requester, or failure modes for already-decided requests. It only implies a mutation via the word 'Approve'.

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

Conciseness2/5

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

It is short, but that brevity reflects under-specification rather than conciseness: the single phrase duplicates the tool name and earns no additional place in the definition.

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

Completeness1/5

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

For a state-changing approval operation with an output schema but zero annotation coverage and zero parameter documentation, the definition omits everything an agent needs — required permissions, effect of approval, idempotency, and the meaning of both required inputs.

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% for both parameters, so the description must compensate, but it says nothing about request_id (format, source, where to obtain it) or approver_name (whether it must match an authenticated identity). The two required parameters are entirely undocumented.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The text 'Approve a leave request' is a verbatim human-readable restatement of the tool name approve_leave_request, adding no scope, object detail, or distinguishing information. It does not distinguish this tool from siblings like submit_leave_request or get_pending_approvals beyond the obvious verb.

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?

There is no when-to-use guidance, no prerequisites, and no reference to alternatives such as get_pending_approvals (which presumably surfaces the requests worth approving). The agent must infer the entire workflow context.

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