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FalaZuki Finance BR

calculate_custo_demissao

Calcula quanto custa demitir um funcionário CLT nos três caminhos: sem justa causa (aviso indenizado cheio + multa de 40% do FGTS), acordo mútuo (metade do aviso + multa de 20%) e pedido de demissão (só as proporcionais). Estima a base do FGTS quando não informada. Parâmetros obrigatórios: salary, months_worked, months_this_year. Opcionais: fgts_deposits_base, has_overdue_vacation. Use exatamente estes nomes, em inglês.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
salaryYesSalário mensal do funcionário, em R$
months_workedYesTempo de casa, em meses
months_this_yearYesMeses trabalhados no ano corrente (avos do 13º)
fgts_deposits_baseNoTotal de depósitos de FGTS do contrato (base da multa). Omitido, estimamos 8% × salário × meses
has_overdue_vacationNoHá período de férias vencido e não gozado

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations provided, the description carries the full behavioral burden. It discloses a key behavior beyond a simple read: 'Estima a base do FGTS quando não informada' (estimates the FGTS base when not supplied). It also transparently explains the calculation logic for each path, including which components are included. No contradictions exist since there are no annotations. It could have mentioned output format, but the estimation behavior is the main non-obvious trait and is clearly stated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact: three sentences plus a parameter list. The main purpose and scenario breakdown are front-loaded, followed by parameter guidance. The list of required/optional parameters partially repeats the schema, but the explicit naming instruction earns its place for agent usability. Slight redundancy keeps it from a 5, but it is efficient and well-ordered.

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 calculator tool with 5 parameters and no output schema, the description is largely sufficient. It covers the three scenarios, the estimation behavior, and required/optional parameters. Combined with 100% schema coverage, an agent can invoke it correctly. Missing details like output format or whether all three results are returned at once are minor given the phrase 'nos três caminhos' implies all paths are calculated. It is complete enough for its complexity.

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 schema already documents all parameter meanings. The description adds value by reiterating which parameters are required vs optional and clarifying that fgts_deposits_base is the base for the fine, but this largely duplicates schema descriptions like 'Omitido, estimamos 8% × salário × meses'. The instruction to use exact English names is helpful but not semantic enrichment beyond the schema.

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 resource ('quanto custa demitir um funcionário CLT') and enumerates the three distinct dismissal paths (sem justa causa, acordo mútuo, pedido de demissão). This clearly distinguishes it from sibling tools like calculate_severance or calculate_fgts by specifying exact scenarios and calculation components (40% FGTS fine, 20% fine, proportional amounts).

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 implicitly defines when to use this tool: for any CLT dismissal cost calculation covering the three named paths. It provides clear context about scope (CLT employees, three termination types) but does not explicitly mention alternative tools or when not to use it. The scenario breakdown gives enough context for selecting it, though it stops short of naming sibling exclusions.

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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