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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)

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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TDQS

B3.2/5.0
Disambiguation2/5

Many tools are clearly distinct, but the set contains several near-identical clusters: calculate_dividend_income_goal and calculate_dividend_yield both answer 'how much capital is needed to reach a dividend income target', and calculate_real_salary, calculate_raise_vs_inflation, and calculate_salary_time_value overlap heavily on salary/inflation comparisons. Generic tools like compare_investments and compare_with_cdb also blur the boundary with the many specific yield calculators.

Naming Consistency3/5

Most tools follow a clear verb_noun snake_case pattern with verbs like calculate_, get_, check_, compare_, and advise_. However, the object language is inconsistent (calculate_ganho_capital_imovel alongside calculate_car_affordability), and can_i_quit_job breaks the command-style pattern with a question.

Tool Count1/5

At 114 tools, the server is extremely over-scoped for an MCP surface; an agent cannot reasonably hold all these options in context. The inclusion of a search_calculator tool to route among the others is a strong signal that the tool set itself needs partitioning.

Completeness4/5

The surface is very comprehensive for Brazilian personal finance: employment, taxes, investments, debt, real estate, vehicles, small business, insurance, and market-data queries are all covered. A few minor gaps exist, such as no dedicated generic boleto-fine calculator or consolidated investment comparison engine, but no core workflow feels badly stranded.

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