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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

TDQS

A4.8/5.0
Behavior5/5

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

Annotations already declare readOnlyHint, destructiveHint, idempotentHint. The description adds critical context about derived fields, payment_status logic, cross-bill payment matching, connector-specific limitations (e.g., open bill unavailability), and warning behavior. 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 lengthy but every sentence serves a purpose given the tool's complexity. It is front-loaded with core output, then detailed caveats. Could be slightly more concise, but information density justifies length.

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 complex logic, the description fully covers return fields, derived statuses, error/warning behavior, and parameter implications. It anticipates agent confusion (e.g., payment_status derivation, connector asymmetry) and provides complete guidance.

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 description coverage is 0%, so the description carries full burden. It explains account_id (required), include_open_bill (opt-in with effects), account_ids (batch), and implies page/page_size (standard pagination). Lacks explicit details on page/page_size defaults, but adds substantial meaning overall.

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 it returns closed credit card bills with specific fields like dueDate, totalAmount, and derived payment_status. It distinguishes itself from sibling tools like openfinance_list_transactions by specifying it provides bill-level summaries, not individual transactions.

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?

Provides extensive when-to-use and when-not-to-use guidance, including opt-in for open bill, connector asymmetry warnings, and explicit alternatives (e.g., use openfinance_list_transactions for itemized purchases). It advises against reconstructing totals from transactions and names sibling tools correctly.

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
Disambiguation3/5

The openfinance_ tools are mostly distinct by resource/action, but there are several overlapping pairs: list_accounts vs get_accounts_detail, list_credit_card_bills vs get_credit_card_bill, list_transactions vs list_transactions_by_item, and connect vs toolkit_info vs openfinance_list_connections. The descriptions help disambiguate, but an agent could still misselect between these related tools.

Naming Consistency4/5

The core banking tools consistently follow an openfinance_<verb>_<noun> pattern, which is a strong and readable convention. The generic platform tools (authenticate, connect, marketplace, report_bug, show_version, toolkit_info) break that pattern and use mixed naming styles, creating two distinct naming tiers within the same server.

Tool Count3/5

25 tools sits at the upper borderline of what feels reasonable for one server. The Open Finance domain justifies many read/query tools, but the inclusion of platform meta-tools like marketplace, connect, toolkit_info, report_bug, and show_version inflates the count beyond a tightly focused bank-data scope.

Completeness4/5

The Open Finance surface is largely complete: connectors, sync, disconnect, accounts, balances, transactions, categorization, credit card bills, loans, investments, and provider status are all covered. Minor gaps exist, such as the lack of a dedicated investment detail endpoint and limited consent/permission introspection, but agents can work around these with the existing tools.