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Frihet-io

Frihet MCP Server

Payroll Readiness Checklist

payroll_checklist
Read-onlyIdempotent

List employees by payroll readiness status to detect missing data or blocks before exporting payroll.

Instructions

List all employees for a given month with their payroll readiness status. Status values:

  • 'ready' — all required data present, ready to export

  • 'missing_data' — some required fields missing (see missingFields[])

  • 'blocked' — manually blocked or data inconsistency detected

Use BEFORE payroll_export to identify gaps. Month format: 'YYYY-MM'. / Lista empleados con estado de preparacion para nomina. Usar antes de payroll_export.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
monthYesMonth in 'YYYY-MM' format / Mes formato 'YYYY-MM'

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
monthYes
totalEmployeesNo
readyEmployeesNo
missingEmployeesNo
employeesNo
generatedAtNo
Behavior4/5

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

Annotations already declare readOnlyHint=true, so the description doesn't need to mention it. However, it adds value by describing status values and the missingFields array, which gives insight into behavior beyond annotations.

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?

The description is concise and well-structured: purpose first, then bullet-pointed statuses, then usage note and format. No unnecessary words.

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?

Given the tool's simplicity (one param, output schema exists), the description covers purpose, usage, status meanings, and format. It is complete for an agent to invoke correctly.

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% for the single parameter, so baseline is 3. The description reiterates month format but doesn't add new semantics beyond the schema.

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 lists all employees for a given month with payroll readiness status, which is specific and distinct from siblings like payroll_export. It includes status values and usage hint.

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 states 'Use BEFORE payroll_export to identify gaps', providing clear guidance on when to use this tool instead of alternatives. Also specifies month format.

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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