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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

A4.8/5.0
Behavior5/5

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

Beyond the readOnly/idempotent annotations, the description reveals auto-pagination versus manual pagination, the 5000-transaction truncation ceiling, error-return behavior instead of throwing, future-dated scheduled rows, provider incidents, and inconsistent `billId` data. These behavioral traits are not visible in the annotations or schema and are fully disclosed.

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 information-dense, and each major behavior has a clear labeled section (e.g., PENDING vs POSTED, SCHEDULED ROWS, PAGINATION). It is slightly redundant, particularly around the billId warning repeated in both the intro and the rich-detail section. It is justified coverage for a complex domain, though not perfectly concise.

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, but the description explicitly documents the `account` echo block, `scheduled_count`, `notice`, `truncated`, `total:0` error shape, and provider incident behavior. It also tells the agent how to resolve failure modes through sibling tools. This fills the missing schema coverage very completely.

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?

Schema descriptions are 0%, and the description compensates extensively: from/to ISO format, date filter, `search_queries` case/accent-insensitive OR matching, `page`/`page_size` manual mode, and `detail` enum semantics including compac/rich/raw. The only noticeable gap is `account_ids`, which is not clearly explained as a batched variant, even though every other parameter has meaningful 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 opening sentence names the exact resource and operation: returns transactions for a bank account of type BANK or CREDIT. It further says that for CREDIT accounts this is the ONLY way to get itemized transactions, which clearly separates it from the transaction-bill tools. This is specific, not a tautology.

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 routing: use openfinance_list_credit_card_bills for standardized open-bill totals, openfinance_list_accounts for closing/due dates, and openfinance_get_item_status when a credit account returns zero. It also gives conditional guidance like passing `to = today` to exclude future-dated rows. Alternatives and exclusions are explicitly named.

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

A4/5.0
Disambiguation3/5

The openfinance_* family is mostly well-differentiated by resource type, but several tools overlap in purpose: openfinance_get_account_balance, openfinance_get_accounts_detail, and openfinance_list_accounts all return account/balance data, and openfinance_list_transactions versus openfinance_list_transactions_by_item have similar scopes. The marketplace tool also bundles many sub-actions (search, invoke, install, subscribe, report_bug, prompt library) into one tool, and duplicates the standalone report_bug tool. Detailed descriptions help, but an agent could easily misselect among the account and transaction variants.

Naming Consistency4/5

Naming is largely consistent: the finance tools follow a clear openfinance_verb_noun pattern (list_accounts, get_account_balance, force_sync, update_transaction_category). There are minor singular/plural inconsistencies (get_account_balance vs get_accounts_detail, get_credit_card_bill vs list_credit_card_bills) and generic platform verbs like authenticate/connect/marketplace that follow a different style, but the overall pattern is predictable and readable.

Tool Count3/5

25 tools is at the upper boundary of what feels manageable for a server covering platform management, marketplace operations, and a broad Open Finance data domain. The count is defensible given the many resource types (accounts, transactions, bills, loans, investments, connections), but it is heavy and the marketplace tool alone packs a dozen sub-capabilities into one entry, making the surface feel larger than 25 discrete tools.

Completeness5/5

The Open Finance surface is quite complete: connection lifecycle (list, connect, disconnect, force sync, status, provider status), account and balance reads, transactions with categorization support, credit card bills with payment status, loans, investments, and investment transactions. Platform concerns like authentication, versioning, toolkit state, marketplace search/install/invoke, and bug reporting are also covered, leaving no obvious dead ends for the server's stated purpose.