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Glama

add_employee

Add a new employee to the HRMS by providing name and email, with an optional manager ID, and get confirmation containing the new employee ID.

Instructions

Add a new employee to the HRMS system.
:param emp_name: Full name of the new employee
:param email: Email address of the new employee
:param manager_id: Employee ID of the manager, e.g. "E003" (optional; use get_employee_details to find it)
:return: Confirmation message that includes the new employee ID

Input Schema

NameRequiredDescriptionDefault
emailYes
emp_nameYes
manager_idNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioral burden; it does disclose the outcome (a confirmation message containing the new employee ID), which is useful. It says nothing about required permissions, validation failures (e.g. duplicate email), or whether the write is reversible — meaningful gaps for a mutation tool with zero annotation coverage.

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 statement is front-loaded and each :param line adds real information rather than restating the field name. The docstring markup is marginally verbose, but no sentence is waste.

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?

An output schema exists, making the :return line somewhat redundant, and the remaining space is not used for error behavior or prerequisites. For a simple three-parameter create, the essentials are present but a reader still doesn't know what happens on failure or duplicate input.

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

Parameters4/5

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

Schema coverage is 0%, so the description has to compensate and largely does: it explains emp_name as full name, email as the employee's address, and manager_id as an employee ID with a concrete example ("E003") plus an explicit note that it is optional and where to find it. Only minor gaps remain (no email format or uniqueness constraints).

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?

States a specific verb and resource — "Add a new employee to the HRMS system" — which is unmistakable against siblings like get_employee_details or update_ticket_status. No sibling performs an equivalent insert, so differentiation is implicit rather than stated, which keeps it just below a 5.

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?

Usage is implied by the verb and the single routing hint: it points the agent to get_employee_details to obtain the manager ID. There is no explicit statement of when to use this tool versus alternatives, nor any prerequisite or duplicate-handling guidance.

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