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openfinance_list_transactions

Read-onlyIdempotent

Returns transactions for a bank account (BANK or CREDIT type). For CREDIT (credit card) accounts, this is the ONLY way to get itemized transactions (purchases, subscriptions, etc.). Each credit card transaction MAY carry creditCardMetadata.billId pointing at a bill from openfinance_list_credit_card_bills, but this is a per-connector HINT, not authoritative: some connectors (e.g. Nubank) populate it sparsely (many transactions and installments arrive with no billId) or inconsistently (the same payment tagged to more than one bill). Do NOT reconstruct a bill's total by summing transactions by billId — the bill's own totalAmount from openfinance_list_credit_card_bills is the source of truth. CREDIT PENDING vs POSTED varies by connector: where the bank exposes future-dated status:'PENDING' installments, those represent the OPEN bill plus future bills (future months); where it does NOT, only the last closed bill's POSTED items appear until ~closing. Same query, different coverage per bank (upstream). To get a standardized open-bill total / total debt regardless, use openfinance_list_credit_card_bills (open_bill / total_pending_debt). SCHEDULED (future-dated) ROWS: results are ordered by date DESCENDING, and on a card with long installment plans the TOP of the list is the FUTURE — rows dated months ahead are scheduled installments of purchases already made, not new purchases. Every such row is flagged scheduled:true, the response carries scheduled_count and a notice naming the most recent row that actually happened. NEVER read the first row as 'the latest purchase' without checking scheduled. To list only what already happened, pass to = today. Supports from/to date filters (ISO YYYY-MM-DD) and an optional keyword filter via search_queries (case- and accent-insensitive substring match against description and merchant name, OR semantics across multiple terms). When search_queries is set the tool aggregates up to 5000 transactions within from/to before filtering — narrow from/to if truncated:true is returned. PAGINATION: OMIT both page and page_size (the default) to get ALL transactions in the from/to range in one call — the tool auto-paginates the upstream and returns them under a single logical page (page:1, totalPages:1), up to a 5000 ceiling (truncated:true + warning if exceeded, then narrow from/to). Passing page and/or page_size switches to MANUAL pagination: you get one page (page_size items, default 50, max 500; page defaults to 1) with the REAL total/totalPages, so page_size:5 alone returns the first 5 with totalPages telling you how many pages remain. On upstream errors, returns { total:0, results:[], warning, error } instead of throwing. detail controls how much per-row data you get (default 'compact' = slim, cheap). Use detail:'rich' to enrich each row (when the bank connector provides it) with merchantInfo (estabelecimento: businessName/razão social, cnpj, cnae, category — useful for auto-classifying spending) and extra creditCardMetadata fields: billId (a per-connector HINT toward the transaction's bill — sparse/inconsistent on some connectors like Nubank, so do NOT sum by it to get a bill total; use the bill's totalAmount instead), billForecastDate, cardNumber, purchaseDate, payeeMCC, feeType/feeTypeAdditionalInfo, otherCreditsType/otherCreditsAdditionalInfo. billForecastDate ("YYYY-MM") is the counterpart of billId for the OPEN cycle: PENDING transactions have NO billId (the bank only mints it once the bill closes), so this is the only field telling you which bill a pending purchase will land in — its month OFFSET is per-connector (some banks month+1, others month+0), so surface it as-is and do not derive a due date from it. cardNumber (last 4 digits) separates the primary cardholder's charges from an additional card's when several cards share one account_id. Use detail:'raw' to get the FULL untouched Pluggy transaction object (everything Pluggy returns, un-normalized — heaviest, for when you need a field we don't project). 'rich'/'raw' add tokens per row and coverage varies by bank/Open Finance, so keep the default for normal listings. For the card's statement closing/due dates use openfinance_list_accounts (creditData.balanceCloseDate / balanceDueDate). The response opens with an account echo block ({ account_id, bank, name, number, type, item_id }) identifying WHICH account/bank these transactions belong to. When more than one bank is connected, ALWAYS cross-check the echo against the account you intended to query and name the bank when presenting results — never attribute one bank's transactions to another. If total is 0 for a CREDIT account, check the connection health via openfinance_get_item_status — statusDetail.creditCards.isUpdated: false means the credit card sync failed and a force sync (openfinance_force_sync) or reconnection may be needed. May include a provider_incident block when the Open Finance provider has an OPEN incident affecting a connected bank: transactions may come back incomplete or wrong until the provider recovers, and reconnecting does not fix it.

Bulk support: accepts account_ids for batched execution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNo
fromNo
pageNo
detailNo
page_sizeNo
account_idYes
account_idsNo
search_queriesNo

TDQS

A4.9/5.0
Behavior5/5

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

Annotations only declare readOnlyHint/idempotentHint and non-destructive behavior, so the description carries the real burden. It discloses many non-obvious behaviors: auto-pagination, 5000-row ceiling, descending future-dated scheduled rows, per-connector PENDING/POSTED variation, sparse billId hints, error return shape, account echo block, provider_incident block, and detail mode response differences. 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.

Conciseness4/5

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

The description is very organized with clear paragraphs on pending, scheduled, rows, pagination, detail, and account echo. However, it is long and slightly repetitive: the 5000 truncation guidance appears twice, and the billId minimization is repeated in both the credit-card section and the rich-detail section. The length is largely justified by a high-complexity tool, but has room for refinement.

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, so the description must assume an enormous explanatory burden. It covers request filters, pagination and truncation, row-level detail modes, credit card metadata semantics, zero-result diagnostics, multi-bank attribution, provider incidents, and related tool usage. For a tool this complex, the documentation is effectively complete.

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?

Schema description coverage is 0%, so all parameter meaning must come from the description. It thoroughly explains from/to format, search_queries term and OR-substring semantics, page/page_size manual mode vs auto-pagination behavior, detail enum values, and the controlling requirement to cross-check the account echo. Even account_ids is reasonably covered by the account ownership guidance.

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 precise verb-resource statement: 'Returns transactions for a bank account (BANK or CREDIT type)' and explicitly distinguishes this tool as the ONLY way to get itemized credit card transactions. It also names sibling tools like openfinance_list_credit_card_bills and openfinance_list_accounts to clarify scope boundaries.

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 text gives explicit when-to-use vs alternatives guidance: use this for itemized transactions, but openfinance_list_credit_card_bills for standardized open-bill totals; use openfinance_list_accounts for closing/due dates; check openfinance_get_item_status when a CREDIT account returns 0. It also explains when to pass `to=today`, when to use manual pagination, and how to react to `truncated:true`.

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

Each Open Finance resource has a clearly named list/get pair, and connection status vs provider status vs force sync are distinct. The main ambiguity is between list_accounts (which already carries balances) and get_account_balance, and between list_transactions and list_transactions_by_item, which requires reading the descriptions carefully.

Naming Consistency4/5

The openfinance_* tools follow a consistent verb_noun pattern (list_*, get_*, update_*, force_sync, search_*). Exceptions like marketplace, toolkit_info, and openfinance_provider_status break the pattern slightly, but the two logical groups are predictable internally.

Tool Count3/5

At 25 tools this is on the heavy end of the scale. Most tools have a real purpose, but several list/get pairs and the multi-purpose marketplace mega-tool could be consolidated without losing functionality, making the overall surface feel larger than strictly necessary.

Completeness4/5

The Open Finance surface is impressively broad: connections, accounts, balances, transactions, credit-card bills, loans, investments, categorization, sync, provider health, and connector search are all covered. Minor gaps like a single-transaction getter or a consolidated statement export force agents to assemble data with extra calls, but no critical workflow is blocked.