Skip to main content
Glama

FalaZuki Finance BR

compare_pgbl_vgbl

Compara PGBL e VGBL pro mesmo aporte anual: a dedução de até 12% da renda tributável do PGBL (com restituição reinvestida) contra o VGBL tributado só no rendimento, ambos na tabela regressiva com resgate após 10 anos. Parâmetros obrigatórios: gross_annual_income, annual_contribution. Opcionais: annual_return, years, marginal_rate. Use exatamente estes nomes, em inglês.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearsNoAnos até o resgate (mínimo 10: é onde a regressiva chega aos 10%)
annual_returnNoRetorno anual do plano em %, já líquido de taxas (padrão 8)
marginal_rateNoSua alíquota marginal do IRPF em % (27,5 pra renda acima da última faixa)
annual_contributionYesAporte anual em R$, igual nos dois cenários
gross_annual_incomeYesRenda bruta anual TRIBUTÁVEL em R$ (base da trava dos 12%)

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries full disclosure burden. It explains the tax treatment of both PGBL and VGBL, the reinvestment of the restitution, and the regressive-table horizon. It also lists required and optional parameters, but it does not describe what the output looks like (since there is no output schema).

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 a single dense sentence followed by a parameter summary. Every part contributes to understanding the calculation, but the first sentence is a run-on with several clauses, and the parameter guidance could be structured more clearly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The calculation methodology is well covered, and all parameters are documented in the schema. However, since there is no output schema, the description should ideally state what the tool returns (e.g., final net comparison, recommendation), and this is missing, leaving the agent to guess the result format.

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 baseline is 3. The description adds value by marking which parameters are mandatory vs optional and emphasizing that annual_contribution is equal in both scenarios while gross_annual_income is the basis for the 12% cap, which is not stated explicitly in the schema for the relationship.

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 names the specific comparison (PGBL vs VGBL) and the concrete mechanism: 12% deductible of taxable income with reinvested restitution, VGBL taxed only on yield, regressive table, redemption after 10 years. This clearly distinguishes it from generic siblings like compare_investments.

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 scenario is clearly established ('pro mesmo aporte anual', 'resgate após 10 anos'), so an agent knows when this applies. However, it does not explicitly state when not to use it or name an alternative tool such as compare_investments, so no exclusion guidance is given.

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