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365diascollaboration-prog

Gerent365 MCP Server

gerent365_create_employee

Create a new employee in Gerent365 with full name, email, role, and optional details for managing schedules, payroll, and time tracking.

Instructions

Crea un nuevo empleado en el negocio.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pinNoPIN de fichaje en kiosko.
roleNoRol: employee | manager | admin.
emailYesEmail del empleado (login).
phoneNoTeléfono.
fullNameYesNombre completo.
hireDateNoFecha de contratación (YYYY-MM-DD).
passwordNoContraseña inicial (opcional).
positionNoPuesto/cargo (texto).
positionIdNoID del puesto (JobPosition) asociado.
Behavior2/5

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

No annotations are provided, leaving the description to bear the full burden of behavioral disclosure. The description only says 'creates a new employee' and does not mention potential side effects, required permissions, validation rules, or what happens on duplicate emails. This is minimal transparency for a 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 description is a single, concise sentence with no wasted words, earning points for brevity. However, it is so minimal that it lacks essential context, making it slightly less effective than a perfectly structured description that balances conciseness with informative detail.

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?

Despite having 9 parameters and no annotations or output schema, the description provides no information about expected return values, edge cases, or prerequisites. This is insufficient for a creation tool with complex inputs and no other source of behavioral context.

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

Parameters3/5

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

The input schema has 100% coverage with descriptions for all 9 parameters, so the baseline is 3. The tool description adds no parameter-level meaning beyond what the schema already provides, so no additional credit is warranted.

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 states 'Crea un nuevo empleado en el negocio' (Creates a new employee in the business), which clearly identifies the action (create) and resource (employee). It implicitly distinguishes from sibling tools like update_employee and delete_employee, but does not explicitly mention alternatives or additional context.

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 other employee-related tools, nor any mention of prerequisites, exclusions, or alternatives. The description simply states the action without contextual direction.

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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