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Glama

Organizze

organizze_list_transactions

Read-onlyIdempotent

Lista transações do usuário no período selecionado, com paginação (page/per_page; máximo 80 por página). Detalhes Open Finance (dados crus do banco) não são incluídos nesta listagem para economizar contexto; use get_transaction com o id para ver um lançamento completo. IMPORTANTE: Para análise de gastos por categoria, use list_mode='all_transactions' ou informe category_id (auto-switch). O modo 'cashflow' (padrão) mostra fluxo de caixa e NÃO inclui gastos individuais do cartão de crédito. Em cashflow, faturas Open Finance já pagas (Belvo confirmou) não aparecem na lista — o caixa realizado é o lançamento na conta (special_marker invoice_payment). Faturas em aberto aparecem como CreditCardInvoice. O modo 'all_transactions' inclui TODAS as transações incluindo gastos no cartão de crédito com suas categorias. PAGINAÇÃO: Se truncated=true, há mais itens — chame de novo com page+1 ou use filtros mais estreitos. TOTAIS: o campo period_totals já traz receitas/despesas/resultado do PERÍODO COMPLETO com o filtro atual — use-o para somas; NUNCA some as linhas de uma página truncada; para agregados mais ricos (saldo, previsto) use transactions_list_results. LIMITE: Se houver muitas transações no período, use filtros (datas, conta, categoria) ou ferramentas de relatório (ex.: get_categories_report) em vez de pedir o ano inteiro sem filtro. INTERPRETAÇÃO DO STATUS PAGO/PENDENTE: Transações de contas MANUAIS (automatic=false): 'paid' reflete se o usuário marcou como paga. Se paid=false E date < data atual → transação ATRASADA. Se paid=false E date >= data atual → transação A VENCER. Transações de contas AUTOMÁTICAS/conectadas (automatic=true): 'paid' é sempre true (banco já confirmou). IGNORE o campo paid para análise de contas atrasadas/vencendo nestas transações. Faturas de cartão (type=CreditCardInvoice): podem estar genuinamente pendentes ou atrasadas mesmo em cartões automáticos. Verifique o campo 'paid' normalmente.

Bulk support: accepts account_ids, credit_card_ids, category_ids for batched execution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo
end_dateNo
order_byNo
per_pageNo
list_modeNo
account_idNo
start_dateNo
account_idsNo
category_idNo
category_idsNo
credit_card_idNo
credit_card_idsNo
installments_onlyNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.9/5.0
Behavior5/5

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

Beyond the read-only/idempotent annotations, it discloses that Open Finance raw details are omitted, that cashflow mode hides paid credit-card invoices and individual card expenses, that truncated pages must not be summed, and exactly how 'paid' should be interpreted for manual vs automatic accounts. This is rich behavioral disclosure.

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?

Long but well organized with uppercase section labels (PAGINAÇÃO, TOTAIS, LIMITE, INTERPRETAÇÃO DO STATUS) and every block carries a distinct operational warning. The purpose statement is front-loaded before advanced nuances.

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?

For a complex 13-parameter tool with no output schema, it covers pagination, totals semantics, mode-specific visibility, limit guidance, paid/pending interpretation, and bulk support. Minor gaps like order_by values and exact response shape are non-critical to calling it correctly.

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?

With 0% schema description coverage, the description compensates for many parameters: page/per_page caps, list_mode values with default and auto-switch via category_id, and bulk account_ids/credit_card_ids/category_ids. However, order_by and installments_only are left unexplained, and singular vs bulk id parameters are only implicitly covered.

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?

Opens with a specific verb and resource ('Lista transações do usuário no período selecionado') and immediately scopes pagination with a page size cap. It also contrasts with get_transaction for full records and with reporting tools, so an agent can distinguish list from detail/report operations.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly tells when to choose all_transactions vs cashflow, when to use category_id, and when to prefer get_transaction or get_categories_report/transactions_list_results. It also instructs to narrow filters when truncated or when the period is too large, giving strong routing guidance.

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

B3.1/5.0
Disambiguation3/5

Most tools target distinct resource+action pairs, but the reporting/query side is crowded: get_balances, transactions_list_results, get_financial_summary, get_monthly_overview, and the category/tag reports overlap heavily. Long descriptions disambiguate bases and use cases, but an agent must read carefully to avoid picking the wrong report or list variant.

Naming Consistency4/5

Organizze tools overwhelmingly follow a consistent organizze_<verb>_<noun> snake_case pattern with create_, list_, get_, update_, and delete_ prefixes. Deviations like transactions_list_results, the mass_* versus update_transactions_* bulk variants, and unprefixed platform tools keep it from being perfect.

Tool Count1/5

68 tools is far beyond the practical agent surface and includes many near-variant list/report/mass tools plus six unrelated platform-level tools. Even though the finance domain is broad, this count creates an extreme mismatch for efficient tool selection.

Completeness3/5

The core finance lifecycle is well covered: accounts, cards, categories, budgets, transactions, invoices, transfers, and reports all have substantial CRUD or equivalent support. However, some referenced operations are missing entirely, such as delete_recurrence, clear_latest_imports, and remove_from_latest_imports, and transfers/recurrences lack full lifecycle coverage.