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FalaZuki Finance BR

calculate_antecipacao_fgts

Revela a taxa de juros EMBUTIDA numa oferta de antecipação do saque-aniversário do FGTS: o valor recebido hoje contra os saques anuais entregues ao banco, por TIR. É a conta pra comparar a antecipação com um crédito comum antes de assinar. Parâmetros obrigatórios: amount_received, years, yearly_parcel. Use exatamente estes nomes, em inglês.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearsYesQuantos aniversários futuros a oferta antecipa
yearly_parcelYesO valor do saque anual entregue ao banco, por ano, em R$
amount_receivedYesO valor que o banco deposita HOJE, em R$

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral disclosure burden. It explains the calculation model (amount received today against annual withdrawals, by IRR) and the decision context, going well beyond the tool name. It does not specify output format or caveats like assumptions of constant annual parcels, but as a pure calculator this is reasonably 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?

Three sentences with no filler. The core purpose is front-loaded, followed by usage context and parameter guidance. Every sentence earns its place.

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 with three fully documented parameters and no output schema, the description covers the purpose, the financial scenario, and the required inputs. The main gap is not describing the output format in detail, but the term 'taxa de juros' and the comparison context make the expected result clear enough.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

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 adds meaningful value by explicitly listing the required parameters and instructing the agent to use exactly these names in English — a critical cross-lingual detail not present in 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 clearly states the specific purpose: reveal the embedded interest rate in an FGTS birthday-withdrawal advance offer using IRR. It identifies the resource (antecipação do saque-aniversário do FGTS) and the calculation method (TIR), which distinguishes it from siblings like calculate_fgts, calculate_cet, and compare_loans.

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 usage context: 'É a conta pra comparar a antecipação com um crédito comum antes de assinar.' This tells an agent when to invoke it, though it does not explicitly name alternatives or state when not to use it.

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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