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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?

Annotations already establish read-only, idempotent, non-destructive behavior. The description adds significant behavioral insight: the extra transaction scan cost, the meaning of transactions_basis, the payment-cycle caveat, the absence of paid/status fields, and the batch response shape. All of this goes well beyond the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is long but each sentence carries essential context for correct invocation. It front-loads the core return shape, then layers optional behaviors and caveats clearly. The structured paragraphs and parentheticals keep heavy information navigable.

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 there is no output schema, the description does a strong job of covering return fields, batch shape, error shape, and available fallback behavior. It is still missing detail on transactions_detail, and the exact structure of individual transaction entries is only partially implied, a minor but real gap.

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 0% schema description coverage, the description correctly compensates for bill_ids, account_id, and include_transactions, explaining their roles and constraints. However, it never mentions transactions_detail or its compact/rich/raw enum values, leaving a relevant optional parameter undocumented.

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 operation: returns bill-level detail for credit card bills by id via GET /bills/:id, and lists exact fields. It also distinguishes itself from sibling tools such as openfinance_list_credit_card_bills and openfinance_list_transactions, so there is no ambiguity about 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 gives explicit when-to-use guidance: use openfinance_list_credit_card_bills first to discover bill_ids, pass include_transactions with account_id for itemized purchases, and prefer the sibling list tool when paid status is needed. It also tells the agent when NOT to manually rebuild totalAmount and how to fetch transactions independently.

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.