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berthelius

Frihet MCP Server

Export Payroll (Gestoria Format)

payroll_export
Read-onlyIdempotent

Export monthly payroll data in gestoría-compatible formats (A3, Contasol, Sage, Holded, SILTRA). Use month format YYYY-MM.

Instructions

Export payroll data for a month in gestoria-compatible format. Supported formats:

  • 'a3' — Wolters Kluwer A3 (CSV with Spanish payroll columns)

  • 'contasol' — Sage Contasol

  • 'sage' — Sage 50/200

  • 'holded' — Holded import format

  • 'siltra' — SILTRA Seguridad Social XML

Frihet does NOT calculate payroll — it exports staged data for the gestoria. Month format: 'YYYY-MM'. / Exporta datos de nominas en formato compatible con gestoria. Mes en formato 'YYYY-MM'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
monthYesMonth in 'YYYY-MM' format / Mes formato 'YYYY-MM'
formatYesGestoria payroll software format / Formato del software de gestoria

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
monthYes
formatYes
fileUrlNo
filenameNo
rowCountNo
generatedAtNo
Behavior4/5

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

Annotations already indicate read-only, idempotent, non-destructive. Description adds critical context: 'expo ts staged data for the gestoria' and explicitly states no payroll calculation, which is valuable 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?

Two concise paragraphs: first explains purpose and formats, second adds an essential behavioral note. Every sentence adds value, no redundancy.

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 export tool with a defined input schema and existing output schema, the description covers purpose, formats, behavioral nuance, and required parameter format. No gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, and description adds further meaning by listing the five enum values explicitly and specifying the month format with an example. The bilingual note reinforces the format.

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?

Clearly states 'Export payroll data for a month in gestoria-compatible format' with a list of five specific formats. Distinguishes itself from export tools like export_datev through the context of gestoria compatibility.

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?

Explicitly states when to use ('to export staged data for the gestoria') and when not ('Frihet does NOT calculate payroll'). Provides month format specification. Lacks direct comparison to sibling exports like export_datev, but the purpose is clear enough.

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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