Skip to main content
Glama

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. First observed

TDQS

A4.5/5.0
Behavior5/5

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

Annotations already provide readOnlyHint=true and destructiveHint=false. The description adds extensive behavioral context: payment cycle semantics, derived payment_status logic, open bill derivation from pending transactions, connector asymmetry, bill_grouping_reliability, warnings instead of failure, and balance meaning variance. 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 front-loaded with the core function and key semantics. It is logically structured: output description, payment semantics, open bill details, connector asymmetry, bulk support. While verbose, every section adds critical value for a complex domain. Could be tightened but remains effective.

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

Completeness4/5

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

Given no output schema, the description provides a detailed account of response fields: payments array, aggregates, derived payment_status, open bill structure, future_bills, account echo block. It covers warnings, bulk support, and non-availability scenarios. Minor lack of explicit root response structure (e.g., top-level keys) but sufficiently complete for a read tool.

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 description coverage is 0%, so the description must compensate. It explains account_id, account_ids (bulk), and include_open_bill (opt-in, derivation, confidence) in detail. However, pagination parameters (page, page_size) are not mentioned, leaving a gap for 2 of 5 parameters. The explanation of covered parameters is thorough, but the omission reduces the score.

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 opens with a specific verb-resource pair ('Returns CLOSED credit card bills for a CREDIT-type account'), clearly distinguishing the tool from siblings like openfinance_list_transactions (itemized purchases) and openfinance_get_credit_card_bill (singular). It explicitly states scope (closed bills, CREDIT account) and differentiates from transaction-level tools.

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 when-to-use guidance: refers to openfinance_list_transactions for itemized purchases, explains when to use include_open_bill, warns against assuming payment status from payments array, provides logic for derived payment_status, and includes a stern directive ('NEVER call such a bill vencida categorically'). It also addresses connector asymmetry and bulk support.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.