Employees By Department
employees_by_departmentRetrieve employees by department to view and analyze staff within a specific team.
Instructions
Returns employees from one department
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| department | Yes |
employees_by_departmentRetrieve employees by department to view and analyze staff within a specific team.
Returns employees from one department
| Name | Required | Description | Default |
|---|---|---|---|
| department | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations to rely on, so the description carries the full burden of behavioral disclosure. It only states the basic read operation but does not disclose order, pagination, error behavior, permissions, or whether the result is limited to active employees. Minimal behavioral context is provided.
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, tightly worded sentence that directly states the function. There is no redundant information or fluff. For a simple tool, this is appropriately concise.
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?
Given the lack of annotations and output schema, the description should provide more context. It does not cover usage guidelines, parameter semantics, or return details. While the tool is simple, the absence of any guidance on how it relates to sibling tools or handles varying inputs makes it incomplete.
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?
The input schema has 0% description coverage, and the tool description provides only minimal compensation. It implies that the 'department' parameter is the department to filter by, but does not specify whether it is an ID, name, code, or what values are accepted. No format or edge-case behavior is explained.
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 uses a specific verb ('Returns') and resource ('employees') with a scope ('from one department'). This clearly distinguishes it from siblings like list_employees (which would return all) and search_employee (which likely searches by other criteria).
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?
No guidance is given on when to use this tool versus the sibling tools. The description does not mention alternatives, prerequisites, or any context that would help an agent decide between 'employees_by_department', 'list_employees', and 'search_employee'.
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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