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FalaZuki Finance BR

simulate_income_tax

Simula declaração de Imposto de Renda — compara modelo simplificado vs completo e calcula imposto devido ou restituição. Parâmetros obrigatórios: annual_income. Opcionais: tax_withheld, dependents, health_expenses, education_expenses, pension_expenses. Use exatamente estes nomes, em inglês.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dependentsNoNúmero de dependentes
tax_withheldNoIR já retido na fonte no ano em R$
annual_incomeYesRenda tributável anual em R$
health_expensesNoGastos com saúde no ano em R$
pension_expensesNoPrevidência privada PGBL no ano em R$
education_expensesNoGastos com educação no ano em R$ (limite R$ 3.561,50/pessoa)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the behavioral disclosure burden. It discloses the core behavior — comparing simplified vs complete models and computing tax due or refund — but does not mention assumptions such as the applicable tax year, use of current brackets, or that the result is an estimate. This is adequate but leaves important caveats unstated.

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 short sentences: the core function is front-loaded, followed by a parameter list and a practical naming warning. Every clause earns its place without fluff or repetition.

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?

With no output schema, the description states the key result (tax due or refund) and the comparison, which is enough for an agent to call the tool correctly. It could describe the return shape or tax year more explicitly, but for a fully schema-documented 6-parameter calculator, the missing details are not critical.

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?

The schema provides descriptions for all parameters (100% coverage), so the baseline is 3. The description restates required and optional names and adds a useful instruction to use exact English names, but it adds no semantic meaning beyond what the schema already 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?

The description states a specific action ('Simula declaração de Imposto de Renda'), the two calculation models compared ('compara modelo simplificado vs completo'), and the outcome ('calcula imposto devido ou restituição'). This clearly differentiates it from sibling tax tools such as calculate_carne_leao or get_irpf_table.

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?

It sets a clear scenario: use this tool to simulate an annual income tax declaration and compare the simplified and complete models. It does not explicitly name alternatives or when-not conditions, but the context is enough to disambiguate from tax-rate lookup, eligibility-check, and specific tax calculation tools.

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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