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comparar_autonomo_vs_sl

Read-only

Compara la carga fiscal total (Seguridad Social + IRPF/IS + dividendos) de operar como autónomo persona física frente a constituir una Sociedad Limitada (SL). Indica cuál conviene y el umbral.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
regimenNoModalidad de estimación directa del IRPF del autónomo: "simplificada" (la de casi todos; resta un 5 % de gastos de difícil justificación, máximo 2000 € al año) o "normal". Por defecto "simplificada".
tipo_isNoTipo de IS para la SL. Por defecto "general".
beneficio_anualYesBeneficio bruto anual de la actividad en euros
gastos_deduciblesNoGastos deducibles anuales. Por defecto 0.
repartir_dividendosNoSi la SL reparte dividendos al socio. Por defecto true.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / regimen
      Added value: +{
      +  "description": "Modalidad de estimación directa del IRPF del autónomo: \"simplificada\" (la de casi todos; resta un 5 % de gastos de difícil justificación, máximo 2000 € al año) o \"normal\". Por defecto \"simplificada\".",
      +  "enum": [
      +    "normal",
      +    "simplificada"
      +  ],
      +  "type": "string"
      +}
  2. First observed

TDQS

A3.8/5.0
Behavior3/5

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

readOnlyHint=true already establishes this as a safe, non-mutating calculation, and the description usefully discloses what the computation covers (SS, IRPF/IS, dividends) plus that it returns a recommendation and threshold. It does not state assumptions (tax year, jurisdiction defaults) or caveats, which is acceptable given the annotation.

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, zero filler. The scope and factor breakdown come first, the output (recommendation + threshold) second, making it well 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?

For a read-only comparison calculator with fully documented parameters and a clear output statement, the definition is nearly self-sufficient. Minor gap: no note on assumptions such as applicable tax year or regional variation, which could affect interpretation of the result.

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 description coverage is 100%, with enums and defaults fully documented in the schema itself (regimen, tipo_is, beneficio_anual, gastos_deducibles, repartir_dividendos). The description adds nothing beyond that, so the baseline 3 for full schema coverage applies.

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?

Specific verb (compara) plus a precisely bounded resource: total tax burden (SS + IRPF/IS + dividendos) of operating as autónomo vs forming an SL. It even states the output intent (which is better and the threshold), and the autónomo-vs-SL framing is naturally distinct from siblings like comparar_modulos_vs_directa.

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

Usage Guidelines3/5

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

The scenario is implied by the comparison itself, but there is no explicit when-to-use, prerequisites, or routing against alternatives such as comparar_modulos_vs_directa or calcular_cuota_autonomo. Usage is inferable rather than stated.

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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