add_employee

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

With no annotations provided, the description carries the full behavioral burden. It only signals mutation via the verb 'Add' and does not disclose duplicate handling, idempotency, employee_id uniqueness requirements, or any side effects beyond creating an employee.

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

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

The description is a single, front-loaded sentence with no wasted words. It is appropriately sized for a simple create operation.

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

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

The tool is simple with two required scalar parameters and an output schema, so the basic invocation can be derived. However, missing behavioral context, usage guidance, and parameter semantics leave gaps that are not covered by annotations.

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

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

Schema description coverage is 0%, and the description adds no meaning to the 'name' and 'employee_id' parameters beyond their bare titles. The parameter names are self-explanatory, but the description does not compensate for the missing schema descriptions.

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

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

The description states a specific action ('Add'), a concrete resource ('a new employee'), and the system context ('leave management system'). This clearly differentiates it from siblings like add_leave and list_employees by target resource.

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

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

The intended usage is implied by the verb and resource: use this when an employee needs to be added. However, there is no explicit when-to-use/when-not-to-use guidance and no mention of alternatives, so the agent must infer selection context.

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