employee_personal_data

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

With no annotations provided, the description carries the full behavioral disclosure burden. It does communicate that this is a read operation scoped to a point in time ('as of a reference date'), which is useful. However, it does not disclose whether inactive employees are included by default, what fields are considered 'personal data', or any authorization/scope boundaries.

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 filler. Every word contributes to the core meaning, and the most important qualifier ('as of a reference date') is positioned clearly.

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 description is adequate for a simple two-optional-parameter retrieval tool, but gaps remain: there is no output schema, so the return shape is unspecified, and the description does not mention the include_inactive_since behavior beyond what the schema already states. The employee-versus-student distinction helps with sibling differentiation, but the overall context is somewhat thin.

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 100%, so the structured schema already documents both parameters clearly. The description adds only marginal meaning by calling 'date' the 'reference date,' which is consistent with the schema but does not explain the interaction between date and include_inactive_since.

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 verb ('Get') and resource ('personal data of employees'), and the reference-date qualifier adds meaningful scope. It clearly distinguishes itself from sibling tools like student_personal_data and person_search by identifying both the data type and subject population.

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 provided about when to use this tool versus alternatives such as person_search or student_personal_data. The description implies a date-based employee data lookup, but it never states exclusions, prerequisites, or which sibling tools are more appropriate for other lookup scenarios.

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