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add_employee

Add a new employee to the HRMS by providing their name, manager ID, and email, so the system can onboard them.

Instructions

Add a new employee to the hrms system. :param emp_name: Employee name :param manager_id: Manager ID (optional) :return: Confirmation message

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYes
emp_nameYes
manager_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description bears the full burden of behavioral disclosure. It only says 'Add a new employee' and mentions a confirmation message. It does not disclose side effects, permission requirements, validation rules, or what happens upon duplicate entries. This is minimal and insufficient for a mutation 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 description is very short and front-loaded with the purpose. However, the inclusion of ':param' and ':return' lines in a non-standard format adds clutter and the parameter info is inaccurate. Still, it is appropriately sized and not verbose.

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?

Given three required parameters, no annotations, and no output schema visible, the description is incomplete. It lacks the email parameter, misstates manager_id's optionality, and provides no context about side effects, validation, or return value format. The agent cannot fully understand the tool's behavior or requirements.

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%, so the description must explain parameters. It mentions emp_name and manager_id but omits email entirely. Worse, it labels manager_id as 'optional' while the input schema marks it as required. This direct contradiction and missing parameter would mislead an agent into incorrect invocations.

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 'Add a new employee to the hrms system', specifying the verb (add) and resource (employee in hrms). This is clear and unambiguous, but it does not explicitly distinguish from sibling tools like get_employee_details or apply_leave, though those are quite different in nature.

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 guidance on when to use this tool versus alternatives, no prerequisites, and no mention of when not to use. The description simply states the action, leaving the agent to infer usage context.

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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