Skip to main content
Glama

FalaZuki Finance BR

calculate_gross_from_net

Calcula quanto de salário BRUTO é preciso para receber um líquido combinado, descontando INSS e IRRF. É o inverso do calculate_net_salary: útil para negociar proposta ('quero R$ 5.000 na mão') e para o empregador saber quanto registrar na carteira. Parâmetros obrigatórios: net_salary. Opcionais: dependents, reference_date. Use exatamente estes nomes, em inglês.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dependentsNoNúmero de dependentes para dedução do IRRF
net_salaryYesO salário líquido desejado, em R$
reference_dateNoData de referência (aaaa-mm-dd) pra usar a tabela vigente NAQUELA data. Omitida, usa a de hoje.

TDQS

A4.4/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It clearly discloses the core behavior: reverse calculation from net to gross while discounting INSS and IRRF. Minor gaps remain around rounding, cap limits, and handling of infeasible inputs, but the main computational behavior is transparent.

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 short and front-loaded: first the core purpose, then the sibling distinction and use cases, then the required/optional parameters. Every sentence adds value and there is 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?

For a simple calculator with a complete parameter schema, the description covers purpose, usage, sibling distinction, and parameter names. The main gap is that there is no explicit statement about the return/output format, and edge cases such as impossible net targets are not mentioned, but the tool is still easy to invoke correctly.

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 coverage is 100%, so the baseline is 3. The description usefully restates required vs optional parameters and insists on exact English names, but it adds no semantic meaning beyond what the schema already provides for types, defaults, bounds, or date format.

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 uses a specific verb ('Calcula') and names the resource: gross salary needed to achieve a target net salary after INSS and IRRF. It also explicitly says 'É o inverso do calculate_net_salary', which clearly differentiates it from the most closely related sibling tool.

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

Usage Guidelines5/5

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

The description names the alternative tool directly and gives concrete scenarios: negotiating a proposal ('quero R$ 5.000 na mão') and telling an employer how much to register in the work card. This gives an agent clear when-to-use guidance without ambiguity.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

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