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DeHor-Labs

mcp-fiscal-brasil

by DeHor-Labs

simular_transicao_reforma_tributaria

Simulate the annual impact of Brazil's tax reform (2026-2033) by comparing old regime (PIS/COFINS + ICMS/ISS) versus new regime (CBS + IBS) across sectors and tax regimes. Understand your transition tax burden.

Instructions

Simula o impacto da Reforma Tributaria (LC 214/2025) ano a ano de 2026 a 2033. Compara a carga do regime antigo (PIS/COFINS + ICMS ou ISS) com a do regime novo (CBS + IBS), mostrando o blend da transicao conforme o cronograma legal. Setores: comercio, servicos ou industria. Regimes: Simples Nacional, Lucro Presumido ou Lucro Real. Informe aliquota_icms_atual ou aliquota_iss_atual para maior precisao. Retorna projecao anual com premissas e disclaimers obrigatorios.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
faturamento_anualYesReceita bruta anual em reais. Deve ser positivo.
setorYesSetor da empresa. Aceita: "comércio", "serviços" ou "indústria".
regime_atualYesRegime tributario atual. Aceita: "Simples Nacional", "Lucro Presumido" ou "Lucro Real".
aliquota_icms_atualNoAliquota do ICMS (%) vigente no estado da empresa. Obrigatoria para comercio/industria para maior precisao. Se None, assume 12%.
aliquota_iss_atualNoAliquota do ISS (%) vigente no municipio da empresa. Obrigatoria para servicos para maior precisao. Se None, assume 5%.
aliquota_pis_cofinsNoAliquota efetiva de PIS/COFINS (%) sobre o faturamento. Se None, usa o padrao do regime informado (LP: 3,65%; LR: 9,25%; SN: 3,65%).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Without annotations, the description carries full burden. It discloses that the tool compares regimes, shows a blend during transition, and returns yearly projections with premises and disclaimers. It is transparent about its simulation nature but could be more explicit about assumptions and error handling.

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 three sentences, front-loaded with the core purpose. Every sentence adds essential information without redundancy. It efficiently covers what, when, and how to use the tool.

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?

Given the tool's complexity (6 parameters, 3 required, tax reform simulation), the description covers the time frame, comparison details, sectors, regimes, and optional inputs. It mentions returning yearly projections with disclaimers; since an output schema exists, this is sufficient for an agent to understand the return 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%, baseline 3. The description adds significant value by explaining the role of optional parameters (aliquota_icms_atual, aliquota_iss_atual) and providing default values (12%, 5%) and examples for PIS/COFINS. This goes beyond the schema's descriptions.

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 explicitly states the tool simulates the impact of Brazil's tax reform (LC 214/2025) year by year from 2026 to 2033, comparing old and new regimes. It clearly distinguishes from sibling tools like consultar_aliquota_icms or compare_tax_regimes by specifying its unique scope and output.

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 provides clear context for when to use the tool (e.g., for simulating tax reform impact over the transition period, for specific sectors and regimes). It gives guidance on optional parameters for precision but does not explicitly state when not to use it or compare to alternatives.

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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