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openfinance_get_credit_card_bill

Read-onlyIdempotent

Returns bill-level detail for one or more credit card bills by id (GET /bills/:id): dueDate, billClosingDate (when the cycle closed — the boundary that defines which purchases belong to this bill), totalAmount, financeCharges and payments[] (id, paymentDate, amount, valueType, paymentMode). ITEMIZED PURCHASES (OPT-IN): the bank's bill payload has no transactions in it — they live on the card ACCOUNT. Pass include_transactions:true (plus account_id of the credit card, since the bill itself carries no account reference) and each row also gets transactions[], transactions_count, transactions_sum and reconciles_with_total, already matched to that bill. Always check transactions_basis: bill_id = exact (the bank tagged each transaction with this bill — the normal case for CLOSED bills), date_window = ESTIMATE (confidence:'low', window echoed in transactions_window) used when the connector tags no billId or the bill is still open (PENDING lines get no billId until the cycle closes), unavailable = no link possible. Opt-in because it costs an extra full transaction scan of the account. Whatever the basis, the bill's own totalAmount is authoritative — do NOT rebuild it by summing transactions. Without the opt-in the response carries a transactions_hint; you can also fetch them yourself via openfinance_list_transactions with the credit card account_id and a from/to range ending at billClosingDate. Pass bill_ids as an array — use openfinance_list_credit_card_bills first to discover ids. { results, errors } batch shape. NOTE: Pluggy does NOT return a paid/status field. In Brazilian Open Finance, payments[] reflects payments registered during THIS bill's billing cycle — typically the payment of the PREVIOUS bill (do NOT assume this bill was paid just because payments[] is non-empty). To check paid status, prefer openfinance_list_credit_card_bills which derives payment_status via cross-bill match.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bill_idsYes
account_idNo
transactions_detailNo
include_transactionsNo

TDQS

A4.8/5.0
Behavior5/5

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

Despite having `readOnlyHint` and `idempotentHint` annotations, the description adds rich behavioral caveats: the bill payload does not include transactions, `transactions_basis` can be estimate vs exact, and `payments[]` may refer to previous bills. These details prevent incorrect agent reasoning.

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 it is organized into functional sections and front-loads the purpose. Every sentence provides decision-relevant information about fields, transaction boundaries, paid-status caveats, or batch responses. A small amount of redundancy could be trimmed, but overall it is structured effectively.

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?

Without an output schema, the description properly carries the burden of explaining return fields, transaction basis, paid-status pitfalls, and batch response shape. It also provides cross-tool references, making the description complete for runtime decision-making.

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?

Since the schema has no parameter descriptions, the description compensates well. It explains that `bill_ids` is an array discovered via a sibling endpoint, explains the relationship between `include_transactions`, `account_id`, and `transactions_basis`, and clarifies `transactions_detail` usage for rich/raw. It could explain the exact shape differences between `compact`, `rich`, and `raw` further, but the core semantics are 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?

The description clearly states the resource ('credit card bills by id') and the verb ('Returns bill-level detail'), and names exact fields. It also distinguishes itself from sibling tools by explicitly telling users to use `openfinance_list_credit_card_bills` for paid status.

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 clear when-to-use and when-not-to-use guidance. It instructs the agent to discover `bill_ids` through `openfinance_list_credit_card_bills`, to pass `account_id` and `include_transactions` for itemized transactions, and to avoid this method for paid status.

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 largely distinct: openfinance_* tools cover specific resources (accounts, transactions, bills, loans, investments) with clear boundaries. Some overlap exists between list_transactions and list_transactions_by_item, and between status/sync tools (get_item_status, force_sync, provider_status), but descriptions are detailed enough to guide selection.

Naming Consistency4/5

The openfinance_* prefix provides strong consistency for the bulk of tools, with clear verb_noun patterns (list, get, update, force_sync). The platform tools (authenticate, connect, marketplace, report_bug, etc.) break the pattern but are few and their names are intuitive. Overall, minor mixing of conventions but readable.

Tool Count4/5

25 tools is on the higher side but appropriate for a comprehensive Open Finance and platform management server. The count includes both data access (accounts, transactions, bills, loans, investments) and platform utilities (authentication, connection state, marketplace). No redundant tools; each serves a clear purpose.

Completeness4/5

The surface covers the core read operations for connected banks (accounts, transactions, bills, loans, investments), connection management (sync, status, disconnect), and category correction. Minor gaps include no get-transaction-by-id and no update for account metadata, but these are not critical for the typical use case of a banking data aggregator.