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nikolasdehor

mcp-fiscal-brasil

by nikolasdehor

calcular_correcao_monetaria

Calculate monetary correction of a Brazilian real amount between two dates using IPCA or Selic indexes, fetching historical data from the Central Bank to update debts, contracts, and tax obligations.

Instructions

Calcula a correção monetária de um valor entre duas datas usando IPCA ou Selic. Busca as séries históricas do Banco Central do Brasil e aplica o fator acumulado ao valor informado. Útil para atualização de dívidas, contratos e obrigações fiscais.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
valorYesValor original a ser corrigido (em reais).
indiceNoIndice de correcao: 'IPCA' ou 'SELIC'. Padrao: 'IPCA'.IPCA
data_fimYesData de fim da correcao, formato YYYY-MM-DD.
data_inicioYesData de inicio da correcao, formato YYYY-MM-DD.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Without annotations, the description partially discloses behavior by noting it fetches historical series from Banco Central, but omits details like data freshness, error handling, or rate limits.

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?

Two concise, informative sentences front-load the core functionality with no wasted words.

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?

Complete for a simple correction tool with output schema; could mention edge cases (e.g., invalid dates) but sufficient overall.

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 covers all parameters with descriptions; the description adds no extra meaning beyond what the schema provides, resulting in baseline score.

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 tool computes monetary correction between dates using IPCA or Selic, distinct from sibling tools that fetch raw indices.

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?

Explicitly mentions applicability for updating debts and contracts, but does not advise against use or contrast with related siblings like ipca_periodo or taxa_selic.

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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