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HR Assistant MCP Agent

HR Assistant MCP Agent

by sachink1712
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

create_ticket

File a ticket for new employee onboarding equipment, including laptop and ID card. Provide employee ID, item, and reason to process the request.

Instructions

Create a ticket for an new employees to get a new laptop, id card, and other necessary equipment.
Args:
    emp_id: str
    item: str
    reason: str
Returns:
    str

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "emp_id": "<emp_id>",
      "item": "<item>",
      "reason": "<reason>"
    },
    "name": "create_ticket"
  }
}

Input Schema

NameRequiredDescriptionDefault
itemYes
emp_idYes
reasonYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3/5.0
Behavior2/5

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

With no annotations, the description must disclose behavioral traits itself, but it only states that a ticket is created and that a string is returned. It does not mention side effects, persistence, permissions, or any follow-up actions, which matters for a mutating create operation.

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 purpose sentence is front-loaded, and the Args/Returns block is compact and easy to scan. No unnecessary filler is present, though the grammar 'an new employees' is a minor defect.

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?

The definition is adequate for a simple three-parameter creation tool: it gives the purpose, the argument names and types, and the return type. However, it leaves parameter semantics largely unspecified and offers no comparison or routing guidance for the nearby sibling tools.

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%, so the description needs to compensate, but it only repeats the parameter names and types alongside the examples 'laptop' and 'id card'. It does not clarify the expected format for emp_id, constraints on item, or what reason should contain.

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 tool creates a ticket for new employees to request equipment such as a laptop and ID card, which distinguishes it from employee-management siblings like add_employee and leave tools. It uses a specific verb and resource, though it does not name an alternative explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The intended context is implied by 'for new employees' and the equipment examples, suggesting this is for onboarding-related ticket creation. No explicit guidance is given about when to use this tool instead of siblings like send_email or schedule_meeting, nor any prerequisites or exclusions.

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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