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Banco do Nordeste do Brasil MCP

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

A4.9/5.0
Behavior5/5

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

Discloses extensive behavioral details: derived payment_status logic, open bill availability conditions, connector asymmetry, bill grouping reliability warnings, and the extra scan for open bill. Annotations already indicate read-only and idempotent; description adds context without contradiction.

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 very long but well-structured, starting with the main output then diving into detailed semantics. While verbose, the complexity of the domain justifies the length; could be slightly more concise but retains clarity.

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?

Completely covers all aspects: return fields, derived fields, edge cases, connector differences, warnings, cross-references to other tools, and opt-in behavior. No gaps for an agent to misuse given the domain complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Despite 0% schema description coverage, the description explains each parameter (account_id, account_ids, include_open_bill, page, page_size) in detail, including the opt-in nature and batch feature. Adds meaning far beyond parameter names.

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 for CREDIT-type accounts, listing key fields and derived data. It distinguishes from siblings like openfinance_get_credit_card_bill (singular) and openfinance_list_transactions (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 explicit guidance on when to use this tool (for closed bills, not open bills), when to use alternatives (openfinance_list_transactions for line items), and important caveats like connector asymmetry and opt-in for open bill. Includes detailed do's and don'ts.

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

A3.9/5.0
Disambiguation4/5

Most openfinance_* tools target a distinct resource and action, and the descriptions carefully separate overlapping endpoints like openfinance_list_transactions vs openfinance_list_transactions_by_item and openfinance_get_credit_card_bill vs openfinance_list_credit_card_bills. The main ambiguity risk is the broad marketplace mega-tool, but its many sub-capabilities are explicitly enumerated.

Naming Consistency4/5

Tool names consistently use snake_case with a strong openfinance_ prefix and verb-led patterns like list_, get_, update_, disconnect_, and force_sync. Minor deviations exist: openfinance_provider_status lacks a verb, openfinance_get_accounts_detail is awkwardly pluralized, and the platform tools (connect, marketplace, authenticate) break from the prefix pattern.

Tool Count3/5

At 25 tools, the server sits at the heavy end of the appropriate range. The Open Finance domain is complex enough to justify most entries, but the inclusion of platform-level tools like marketplace, authenticate, connect, and toolkit_info makes the overall surface feel denser and less focused than a pure banking-data server.

Completeness4/5

The set provides strong coverage of the Open Finance lifecycle: connections, sync/status, accounts, balances, transactions, credit card bills, loans, investments, category management, and provider health. Minor gaps exist, such as no dedicated investment-detail-by-id tool and no way to set custom connection labels, but these are workable and do not create critical dead ends.