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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

A4.9/5.0
Behavior5/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, but the description adds critical behavior beyond annotations: the opt-in transaction scan requirement, that transactions live on the account not the bill, that there is no paid/status field returned, that payments[] typically refer to the previous bill, and that transaction matching may be a low-confidence estimate. This directly prevents the agent from drawing incorrect conclusions from the response. No contradiction with annotations exists.

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 dense, but well-structured with clear labels such as 'ITEMIZED PURCHASES (OPT-IN)', 'Always check transactions_basis', and 'NOTE'. Key information is front-loaded: the primary purpose is in the first sentence, then the most important behavioral caveats follow. Although long, every section carries practical information an agent needs to call the tool correctly.

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?

There is no output schema, yet the description covers the response shape, batch structure { results, errors }, the reconciliation field, authoritative total behavior, and status limitations. It even gives a fallback path for fetching transactions directly and a sibling to use for paid status. For a moderately complex bill-detail function, the description supplies nearly everything an agent needs without being cluttered.

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 schema description coverage at 0%, the description carries full responsibility for parameter meaning. It explains bill_ids (array, discover via list), account_id (needed for include_transactions because the bill has no account reference), and include_transactions (opts into extra transaction scan). However, the transactions_detail enumeration (compact/rich/raw) is never explained, leaving a meaningful gap for an agent choosing a detail level for this tool.

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 states a specific verb and resource: 'Returns bill-level detail for one or more credit card bills by id (GET /bills/:id)'. It clearly lists the returned fields and distinguishes the tool from the sibling list tool by pointing to openfinance_list_credit_card_bills for discovery and payment status. An agent can easily tell what this tool does and how it differs from related 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 gives explicit usage direction: use openfinance_list_credit_card_bills first to discover IDs, prefer that sibling for paid status, pass include_transactions with account_id for itemized purchases, and avoid summing transactions since totalAmount is authoritative. It also explains when transactions_basis should be trusted as exact versus estimated, giving the agent clear decision criteria.

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

Most tools map clearly to a distinct openfinance resource or action (accounts, transactions, bills, investments, loans, connections, provider health), and the platform utilities are a separate family. The only realistically confusable pairs are openfinance_list_transactions vs openfinance_list_transactions_by_item and openfinance_list_accounts vs openfinance_get_accounts_detail, but the descriptions draw sharp boundaries between them.

Naming Consistency4/5

The 19 openfinance_* tools follow a strong openfinance_<verb>_<noun> convention, with only minor exceptions like openfinance_provider_status and openfinance_list_transactions_by_item. The six platform tools mix bare verbs (authenticate, connect), nouns (marketplace, toolkit_info), and verb_noun (report_bug, show_version), but they are clearly a separate utility layer.

Tool Count3/5

25 tools sits at the top of the 'feels heavy' band. The number is defensible for a full Open Finance data product plus platform management tools, but an agent is exposed to a lot of surface area, and the same server mixes a banking-data adapter with a marketplace/utility layer.

Completeness5/5

The openfinance surface covers the full lifecycle: search/connect/reconnect/disconnect banks, force-sync, item status, provider incidents, accounts, balances, transactions per account and per connection, credit-card bills with paid-status derivation, investments and investment transactions, loans, loan detail, and transaction categorization. Platform tools cover auth, connection status, toolkit state, version, bug reporting, and marketplace operations, so there are no obvious dead ends.