Get an employee's benefits
talenthr_get_employee_benefitsList the benefits one employee has (category, cost, start and end date).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| employee_id | Yes | The employee id (from talenthr_list_employees). |
talenthr_get_employee_benefitsList the benefits one employee has (category, cost, start and end date).
| Name | Required | Description | Default |
|---|---|---|---|
| employee_id | Yes | The employee id (from talenthr_list_employees). |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, so the safety profile is covered and the description does not need to re-state it. The description adds useful return-content context by naming the fields returned (category, cost, start and end date), which an agent needs since there is no output schema, but it says nothing about empty results, enrollment gaps, or history depth.
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?
A single sentence with the field list packed into a parenthetical, front-loading the action and scope with zero filler. Every clause earns its place.
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?
For a one-parameter read tool with a clear annotation and no output schema, the definition covers the essentials and even sketches the return fields. Only the relationship to talenthr_list_benefits is left implicit, which is a minor gap given the tool's simplicity.
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 coverage is 100% and the single parameter already documents its own origin ('from talenthr_list_employees'), so the schema does the heavy lifting. The description adds no meaning beyond that — no format edge cases, no note about invalid or unknown employee ids.
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 opens with a specific verb and resource ('List the benefits one employee has'), which pins down both the entity and the scope. The phrase 'one employee has' implicitly separates it from the sibling talenthr_list_benefits, but that sibling is never named, so the differentiation requires a small inference.
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?
Usage is implied by 'one employee' — an agent can infer this is for per-employee benefit lookups rather than benefit-plan catalogs. But there is no explicit guidance on when to prefer it over talenthr_list_benefits, and no mention of prerequisites such as whether the employee must be active or enrolled.
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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