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nikolasdehor

mcp-fiscal-brasil

by nikolasdehor

consultar_cest

Look up a Brazilian CEST code to identify products subject to ICMS tax substitution for NF-e issuance. Accepts 7-digit codes with or without punctuation.

Instructions

Consulta o Código Especificador da Substituição Tributária (CEST). Purpose: identificar produtos sujeitos à substituição tributária do ICMS, conforme Convênio ICMS 92/2015 e suas atualizações. Quando usar: ao emitir NF-e com produtos sujeitos ao ICMS-ST. Comportamento offline: lê do banco SQLite bundled. AVISO: o banco pode conter apenas uma amostra; execute scripts/build_tabelas_db.py para popular a tabela completa. Formato do parâmetro: 7 dígitos numéricos, com ou sem pontuação (ex: '0100700' ou '01.007.00').

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cestYesCodigo CEST com 7 digitos numericos, com ou sem pontuacao (ex.: "0100700" ou "01.007.00").

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Discloses offline behavior (reads from SQLite), warns of potential sample-only data, and provides a script to populate. No annotations, so description carries full burden; minimal gaps.

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?

Description is concise, well-structured with clear sections (purpose, when to use, behavior, format). Every sentence adds value without redundancy.

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

Completeness5/5

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

With an output schema assumed present, the description covers purpose, usage, behavior, and parameter format thoroughly, leaving no obvious gaps.

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 100% of parameters; description adds format examples and punctuation details, but not significantly beyond the schema. Baseline 3 is appropriate.

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?

Description clearly states the tool consults the CEST code, gives its purpose (identify ICMS-ST products), references legal basis, and distinguishes from sibling consult tools.

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 states when to use (when issuing NF-e with ICMS-ST products). No explicit when-not-to or alternatives, but given sibling list, the context is clear enough.

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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