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FalaZuki Finance BR

calculate_acordo_divida

Avalia uma proposta de acordo de dívida (Serasa Limpa Nome e afins): o desconto real do à vista e do parcelado sobre o valor cobrado, e o juro EMBUTIDO em escolher o parcelado em vez do à vista, calculado por TIR. É a régua pra decidir se vale juntar o dinheiro, parcelar ou buscar crédito mais barato. Parâmetros obrigatórios: original_debt, cash_offer, installments, installment_value. Use exatamente estes nomes, em inglês.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cash_offerYesA oferta pra quitar à vista, em R$
installmentsYesNúmero de parcelas do acordo parcelado
original_debtYesO valor COBRADO da dívida (o número da carta/plataforma)
installment_valueYesValor de cada parcela do acordo, em R$

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the burden and does disclose the calculation behavior: it computes discounts and embedded interest using TIR. It clearly frames the tool as an evaluative calculation. It could say more about expected output format or assumptions, but it goes well beyond a bare 'calculates debt'.

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 sentences: the first explains what the tool does, the second gives decision utility, and the third lists required parameters. It is tightly packed with meaningful content and no filler.

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?

The description covers what is computed, the method (TIR), and the decision context, which is enough for an agent to invoke the tool correctly. There is no output schema, so a few words on the exact shape of the result would make it fully complete, but the current coverage is strong for a numeric calculator.

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%, so the schema already documents each parameter's type, range, and meaning. The description adds only the instruction to use exactly these names, which is useful but not additional semantic depth. Baseline 3 is appropriate.

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 verb ('Avalia'), a clear resource ('proposta de acordo de dívida'), and the exact outputs: real discount for cash and installment, and embedded interest via IRR. It also grounds the purpose with a realistic context (Serasa Limpa Nome), making it easy to distinguish from generic debt or loan calculators.

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?

The description gives clear decision context: it is the tool to decide whether to save money, pay in installments, or seek cheaper credit. It does not explicitly name alternative tools or exclusions, so guidance on when not to use it is left implicit rather than explicit.

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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