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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

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

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TDQS

A4.9/5.0
Behavior5/5

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

Even with readOnlyHint and idempotentHint annotations, the description adds substantial behavioral detail beyond them: auto-pagination behavior, 5000-row truncation, scheduled/future-dated row semantics, per-connector variability, billId untrustworthiness for summing, provider_incident blocks, and the exact shape of error responses. It also warns about not attributing one bank's transactions to another and about potential connector-specific gaps.

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 quite long and some caveats about billId and pagination are repeated across paragraphs, which costs some conciseness. However, nearly every sentence carries meaningful operational guidance, the most important warning (check scheduled before reading the first row) is front-loaded, and the structure flows logically from result semantics to filtering to pagination to detail levels.

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?

With 8 parameters, no output schema, and only basic annotations, the description carries the full context burden and succeeds. It covers what the tool returns, how return sizes and pagination work, when to use alternative tools, how to interpret creditCardMetadata fields, detection of connector errors, and even special cases like credit card sync failures and provider incidents. Nothing essential for an agent to decide to call or perform the call correctly is missing.

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 the description fully carries the burden, and it does exceptionally well. It explains from/to as ISO YYYY-MM-DD filters, search_queries substring behavior with case/accent insensitivity and OR semantics, detail='compact'/'rich'/'raw' levels, and the nuanced difference between omitting both page/page_size (auto-paginate) versus providing one (manual pagination). account_ids is only briefly mentioned as 'bulk support', but the rest of the parameters are thoroughly demystified.

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 specific verb and resource: 'Returns transactions for a bank account (BANK or CREDIT type)' and immediately distinguishes this tool from alternatives like openfinance_list_credit_card_bills and openfinance_list_accounts. It clearly positions itself as the only way to get itemized credit card transactions, so an agent can tell it apart from sibling listing 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 routing rules: use openfinance_list_credit_card_bills for standardized bill totals, use openfinance_list_accounts for closing/due dates, and use openfinance_get_item_status when CREDIT totals are zero. It also explains when to use pagination modes and how to avoid scheduled future-dated rows, leaving no ambiguity about when this tool is appropriate.

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

A3.9/5.0
Disambiguation3/5

Most openfinance_* tools have clearly distinct resource-action pairs, but several pairs overlap enough to cause misselection: authenticate vs connect, openfinance_list_accounts vs openfinance_get_accounts_detail, and openfinance_list_credit_card_bills vs openfinance_get_credit_card_bill. The long descriptions help, but the monolithic marketplace tool also mixes many sub-actions that overlap with report_bug and connection management.

Naming Consistency3/5

The openfinance_* tools mostly follow a consistent openfinance_<verb>_<noun> pattern, and the utility tools are all snake_case, but the conventions are mixed: marketplace is a bare noun, connect/authenticate are bare verbs, and openfinance_provider_status/toolkit_info lack a verb prefix. The pattern is readable but not uniform across the whole set.

Tool Count3/5

At 25 tools, this sits at the top of the borderline-heavy range. The Open Finance domain justifies many of them, but the marketplace mega-tool plus several overlapping list/get variants make the set feel larger than necessary.

Completeness4/5

The surface covers the full Open Finance lifecycle well: connection search/status/sync/disconnect, accounts, balances, transactions, credit card bills, loans, investments, and category correction. Minor gaps exist, such as no direct payment/transfer initiation or single-transaction detail endpoint, but these are outside the apparent read/aggregate purpose and are workable around.