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openfinance_list_credit_card_bills

Read-onlyIdempotent

Returns CLOSED credit card bills for a CREDIT-type account: dueDate, totalAmount, minimumPaymentAmount, allowsInstallments, plus payments[] (id, paymentDate, amount, valueType, paymentMode), payments_count, payments_total, finance charges aggregates, and a derived payment_status per bill. IMPORTANT — Brazilian Open Finance semantics: Pluggy does NOT return a paid/status field. The payment goes into the payments[] of the bill whose CYCLE contains the paymentDate (closing ≈ dueDate − 7d): pre-payment before close stays on the bill being paid; payment between close and due, or after due, lands on the NEXT bill. So payments[] on a bill commonly carries the previous bill's payment, NOT the current one's — do NOT assume this bill was paid just because payments[] is non-empty. Use the derived payment_status (PAID | OPEN | PAST_DUE_UNCONFIRMED | PAST_DUE_UNPAID): a bill is PAID when its OWN payments[] (early pre-payment) or ANY newer bill in the payload contains a payment with amount ≈ this bill's totalAmount (±R$0.50). The MOST RECENT bill that's past-due, with no own pre-payment match, cannot be confirmed via cross-bill (the next cycle hasn't closed yet) — it returns PAST_DUE_UNCONFIRMED. NEVER call such a bill 'vencida' categorically; flag that the payment may have been made between close and due and not yet reflected upstream. The full payment_status_legend is returned alongside the results. OPEN BILL & TOTAL DEBT (standardized, derived — OPT-IN): pass include_open_bill:true to ALSO get open_bill (the current not-yet-closed bill, próxima a vencer) and total_pending_debt (saldo devedor total = all pending installments), BOTH derived from PENDING transactions so they mean the same thing across connectors — use these instead of the CREDIT account's balance, whose meaning VARIES by connector (some report the open-bill partial, others the full installment debt). open_bill = { available, method (cycle_dates = real close/due dates | calendar_month_fallback = estimated, confidence:'low'), close_date, due_date, total_amount (net charges − credits), transaction_count }; plus a future_bills[] breakdown per month — LOW-confidence forward projections of PENDING installments (confidence:'low', basis), NOT authoritative bills (for closed months trust the results totalAmount). CONNECTOR ASYMMETRY: where the bank does NOT expose the open bill before closing (only closed bills, no reliable cycle dates), open_bill.available is false with a reason (connector_exposes_no_pending or open_bill_not_published) — that bill isn't retrievable by any endpoint until it closes (upstream limit of the institution's Open Finance feed, not our filter); check the bank app for the current open bill. When per-transaction billId grouping does not reconcile with the bills' totals, a bill_grouping_reliability warning is attached (trust totalAmount, do not sum by billId). Default false (the projection runs an extra accounts+transactions scan, so it's opt-in). The response opens with an account echo block ({ account_id, bank, name, number, type, item_id }) identifying WHICH card/bank these bills belong to. When more than one bank is connected, ALWAYS cross-check the echo against the card you intended to query and name the bank when presenting results — never attribute one bank's bills to another. This tool's results are bill-level summaries — NOT individual transactions, and each bill's totalAmount (from the bank) is the AUTHORITATIVE amount. To see itemized purchases/charges, use openfinance_list_transactions with the CREDIT account_id — but note creditCardMetadata.billId is a per-connector hint that can be sparse/inconsistent (e.g. Nubank), so do NOT reconstruct a bill total by summing transactions by billId. Returns a warning instead of failing if the CREDIT_CARDS product is not enabled.

Bulk support: accepts account_ids for batched execution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo
page_sizeNo
account_idYes
account_idsNo
include_open_billNo

Schema Changelog

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

  1. Added
  2. Removed
  3. Added
  4. Removed
  5. Added
  6. Removed
  7. First observed

TDQS

A4.8/5.0
Behavior5/5

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

The description goes far beyond annotations, explaining important behavioral quirks like the payment redistribution across bills, the derived payment_status logic, open_bill availability fallbacks, and the bill_grouping_reliability warning. It also discloses performance implications of include_open_bill (extra scan). No contradiction with annotations.

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 long but logically structured into sections (semantics, open bill, connector asymmetry, bulk support). Every section carries critical operational warnings, though there is some redundancy in the payment_status explanation and the repeated caution about not misinterpreting payments. The length is justified by complexity, but slight tightening could improve conciseness.

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 tool with no output schema and high complexity, the description is exceptionally complete. It specifies all return fields, derived parameters, edge cases (e.g., past-due unconfirmed), fallback behavior, and how to handle multi-bank scenarios. It even covers error behavior (warning instead of failure). This fully prepares an agent to use the tool 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 schema coverage at 0%, the description compensates strongly by thoroughly explaining include_open_bill (including default false and its effects) and mentioning account_ids for bulk execution. However, page and page_size receive no description, leaving their behavior unclear. Since the most critical parameters are covered but pagination is not, a 4 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?

The description clearly states the tool 'Returns CLOSED credit card bills for a CREDIT-type account' and enumerates the fields and derived metrics. It explicitly distinguishes this tool from openfinance_list_transactions, noting it provides bill-level summaries, not individual transactions. This meets the standard of a specific verb+resource+scope.

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?

The description provides explicit usage guidance, such as using openfinance_list_transactions when itemized purchases/charges are needed, and using the derived open_bill/total_pending_debt instead of the CREDIT account's balance. It also explains when include_open_bill should be enabled and warns about connector asymmetry, giving clear when-to-use and 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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TDQS

A4.1/5.0
Disambiguation4/5

Tools are mostly distinct, with clear descriptions differentiating them. Some overlap between openfinance_list_accounts and openfinance_get_accounts_detail, but descriptions clarify that one returns summaries and the other full details. The marketplace tool is very detailed and avoids confusion with Open Finance tools.

Naming Consistency3/5

The Open Finance tools follow a consistent openfinance_verb_noun pattern, but other tools (authenticate, connect, marketplace, report_bug, show_version, toolkit_info) do not use a prefix. This mix of conventions reduces overall consistency, though within the Open Finance subset the pattern is clear.

Tool Count4/5

24 tools is a reasonable count for a platform covering authentication, marketplace, and detailed Open Finance operations. The number is slightly high but each tool has a clear purpose and none seem redundant.

Completeness5/5

The tool set covers the full lifecycle of bank connections: listing accounts, transactions, credit card bills, investments, loans, force syncing, provider status, and category management. The marketplace tool also allows extending functionality. No obvious gaps for the intended financial data domain.