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FalaZuki Finance BR

calculate_markup

Calcula preço de venda com markup — inclui custos fixos, variáveis e margem de lucro desejada. Parâmetros obrigatórios: unit_cost, desired_margin. Opcionais: fixed_costs_percent, variable_costs_percent. Use exatamente estes nomes, em inglês.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
unit_costYesCusto unitário do produto/serviço em R$
desired_marginYesMargem de lucro desejada (%)
fixed_costs_percentNoCustos fixos sobre o preço de venda (%)
variable_costs_percentNoCustos variáveis/impostos sobre o preço (%)

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations present, the description carries the full burden of behavioral disclosure. It usefully says that fixed costs, variable costs, and desired margin are included in the sale-price calculation, but it does not disclose the markup formula, output format, units, or edge-case assumptions, leaving some ambiguity about the exact behavior.

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 with the core purpose front-loaded and every sentence earning its place: purpose, parameter requirements, and naming instruction. There is no filler, repetition, or unnecessary detail.

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 low-complexity calculator with fully documented parameters, the required/optional split and naming rule are enough for an agent to invoke it correctly. Still, because there is no output schema and no return-value description, the result format is not fully explicit.

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 every parameter and the baseline is 3. The description adds only a re-statement of which parameters are required/optional and an instruction to use exact English names, which is marginally helpful but not substantive new meaning.

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 a clear verb and resource — 'Calcula preço de venda com markup' — and enumerates the cost and margin components involved, so an agent understands what the tool computes. It does not explicitly contrast it with sibling calculators, but the markup/price focus is distinct enough among the listed tool names.

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

Usage Guidelines2/5

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

The description states required versus optional parameters and the exact English parameter names, which helps invocation. However, it provides no guidance about when to choose this tool over alternatives such as calculate_break_even or calculate_gross_from_net, and no when-not-to-use conditions.

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.

Resources