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FalaZuki Finance BR

calculate_payroll_loan

Calcula empréstimo consignado: quanto o banco libera dentro da margem, a parcela, e se um valor pedido cabe na margem e no prazo da categoria. Parâmetros obrigatórios: available_income, months, monthly_rate. Opcionais: category, requested_amount. Use exatamente estes nomes, em inglês.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
monthsYesPrazo em meses
categoryNoCLT tem margem de 35% e prazo de até 96 meses; aposentado ou pensionista do INSS tem 40% e até 108 meses desde a MP 1.355/2026.clt
monthly_rateYesTaxa de juros mensal em decimal, ex: 0.018 = 1,8% ao mês
available_incomeYesRemuneração disponível em R$, o que sobra depois dos descontos obrigatórios. A margem incide sobre isto, não sobre o bruto.
requested_amountNoValor que se quer pegar, em R$. Deixe em zero para só descobrir o teto que a margem permite.

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the burden of behavioral disclosure. It explains the calculation logic around margin, category term, and fit checking, and adds a strict instruction to use exact English parameter names. However, it does not explicitly state whether this is a pure read-only simulation or how invalid or out-of-margin inputs are handled.

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?

The description is three sentences with no wasted words. It front-loads the core purpose and outputs, then clearly groups required and optional parameters, and ends with a critical naming instruction.

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 5-parameter calculator with no output schema, the description covers the calculation domain, required versus optional inputs, and the three conceptual outputs. It does not provide an explicit output structure or edge-case behavior, but the rich input schema and prose are sufficient for an agent to invoke the tool and interpret typical results.

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 every parameter already has semantics in the schema, including rate format and category-specific margins. The description adds only required/optional grouping and the 'use exact English names' hint, which is helpful but minor. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with the specific verb 'Calcula' and the resource 'empréstimo consignado', then lists three concrete outputs: amount released within the margin, installment, and whether a requested amount fits margin and category term. This clearly conveys the tool's role and distinguishes it from generic loan/financing calculators, though it never names a sibling explicitly.

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 intended use case is implied by the domain 'empréstimo consignado' and the parameter requirements, but the description does not explicitly state when to use this tool versus alternatives, nor does it provide exclusions. It does separate required and optional parameters, which offers some invocation guidance but no alternative-routing.

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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