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prismhr-mcp

payroll_pay_group_check

Check whether an employee is assigned a pay group to confirm payroll readiness. Resolves missed payments caused by missing pay group assignment.

Instructions

Check whether an employee is set up to be paid (pay group assigned).

Use when the user asks "why didn't Jane get paid" or "is this new hire ready for payroll". Returns whether a pay group is assigned and the pay frequency (weekly/biweekly/etc). Unassigned pay group is the #1 reason an employee is skipped in a payroll run.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
client_idYesThe client the employee belongs to.
employee_idYesWhich employee.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
client_idYes
employee_idYes
pay_group_idYes
pay_group_nameYes
pay_frequencyNoe.g. 'weekly', 'biweekly', 'semimonthly', 'monthly'.
assignedYes
warningNo
Behavior3/5

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

Annotations are absent, so the description carries the full burden. It implies a read-only check ('Check whether') and discloses the #1 reason for skipped payroll. However, it does not specify side effects, permissions needed, or edge cases, leaving moderate gaps.

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

Conciseness5/5

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

Three sentences, each adding value: purpose, use cases, and a key insight. No fluff, tightly written, and front-loaded.

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

Completeness5/5

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

For a simple two-parameter tool with an output schema, the description covers purpose, usage triggers, and a crucial diagnostic hint (unassigned pay group). It leaves no obvious gaps for its complexity.

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?

Input schema has 100% description coverage for both parameters. The description adds no extra information about parameter meaning or formatting beyond what the schema provides.

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

Purpose5/5

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

Description states the tool checks pay group assignment for an employee. It provides specific use cases like 'why didn't Jane get paid' or 'is this new hire ready for payroll', clearly distinguishing its purpose from sibling tools like payroll_batch_status or payroll_pay_history.

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

Usage Guidelines4/5

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

The description explicitly tells when to use the tool (user asks about missed payment or payroll readiness) and what it returns. While it does not mention when not to use it or name direct alternatives, the provided context is sufficient for most scenarios.

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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