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nikulk2992-jpg

prismhr-mcp

payroll_pay_history

Retrieve an employee's paychecks within a date range, showing each paycheck's gross, net, and hours, plus year-to-date gross, net, and taxes.

Instructions

Get an employee's paychecks in a date window, plus year-to-date totals.

Use when the user asks "what did Jane get paid this quarter" or "pull up John's checks for Q1". Returns each paycheck (gross, net, regular/overtime hours) plus YTD gross/net/taxes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
client_idYesThe client the employee belongs to.
employee_idYesWhich employee.
start_dateYesFirst day to include (YYYY-MM-DD).
end_dateYesLast day to include (YYYY-MM-DD).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
client_idYes
employee_idYes
start_dateYes
end_dateYes
vouchersYes
ytdNo
countYes
Behavior3/5

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

No annotations provided, so description carries full burden. It mentions output (paycheck details and YTD totals) but omits read-only nature, permissions, rate limits, or any pitfalls. Lacks full behavioral disclosure.

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?

Two sentences—no superfluous content. First sentence defines purpose, second provides usage examples and output details. Efficient and front-loaded.

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

Completeness4/5

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

Given the output schema existence, description adequately covers return values and usage. However, missing edge cases (e.g., no paychecks found) and behavioral caveats prevent a perfect score.

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?

Schema coverage is 100% with clear parameter descriptions. The description adds 'date window' context but doesn't enhance parameter meaning beyond what schema already provides, yielding a baseline score of 3.

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?

The description clearly states the tool retrieves employee paychecks in a date window plus year-to-date totals, using precise verbs and resource context. It differentiates from sibling tools like payroll_batch_status by focusing on individual 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 Guidelines5/5

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

Explicitly provides use cases with example queries ('what did Jane get paid this quarter'), giving clear guidance on when to invoke this tool.

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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