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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?

The annotations declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, and the description goes well beyond them with high-value behavioral context: the auto-pagination that collapses results onto a single logical page, the 5000-transaction ceiling that sets truncated:true, the inconsistent per-connector PENDING/POSTED coverage, the deterministic scheduled/interrupted behavior (future-dated installments at the top of a DESCENDING list), and the explicit failure contract that returns { total:1, results:[], warning, error } instead of throwing. Nothing in the text contradicts the read-only/idempotent 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 effectively a mini-manual with uppercase section headers (CREDIT PENDING vs POSTED, SCHEDULED, PAGINATION) that make the density navigable, and nearly every sentence carries distinct operational value. However it is notably long and repeats the same billId/summing warning in two separate sections, and some sentences are dense and either overly long or interpreted; it earns a 4, not a 5, for what should be a structural exercise of tightening the duplicate guidance.

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?

Even though there is no output schema, the description covers the shape of the response almost completely: the account echo block, scheduled_count + notice, total/totalPages under both auto and manual pagination, truncated plus the warning, the provider_incident block, and the fallback contract for upstream errors. It also anticipates the real failure modes an agent will hit in practice — mismatched accounts, stale credit data, connector-sparse billId fields — and traverses them all, so no additional context is needed to invoke it correctly.

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 1%, so the description takes the full burden of explaining parameters, and it does so thoroughly: from/to use ISO YYYY-MM-DD, search_queries means a case- and accent-insensitive substring match against description and merchant name with OR semantics across terms, detail is defaulting to a specific value and describes when to switch to 'rich' vs 'raw', page/page_size semantics differ radically depending on whether both are omitted, and each carries concrete defaults (50, max 500). The semantic contract is richer than the raw input schema alone, covering even the recommended widths and recommendations.

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?

States a specific verb and resource immediately: "Returns transactions for a bank account (BANK or CREDIT type)" and further narrows the scope by saying "For CREDIT (credit card) accounts, this is the ONLY way to get itemized transactions", which distinctly separates it from siblings like openfinance_list_credit_card_bills and openfinance_list_transactions_by_item. The description even names the siblings an agent should favor for other purposes, making the tool's identity unmistakable.

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?

Provides explicit when-to-use and when-not-to-use guidance: it should be used for itemized credit card transactions, and NOT for computing a bill total ("Do NOT reconstruct a bill's total by summing transactions by billId" — use openfinance_list_credit_card_bills instead); for closing/due dates it routes to openfinance_list_accounts; for a zero-count credit account it routes to openfinance_get_item_status; and it tells the agent to narrow to the window with an action when truncated:true occurs. The guidelines name alternatives and conditions rather than leaving the agent to infer.

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.