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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?

The description vastly exceeds the annotations, disclosing auto-pagination behavior, the 5000-row ceiling, error-shape returning {total:0, results:[], warning, error}, ordering of future-dated rows, per-connector variations in billId population, and the behavior of `scheduled_count` and `notice`. Nothing here contradicts the annotations; the safety profile is already declared but the description adds deep contextual behavior.

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 information-dense, well-organized by topics like PAGINATION and CREDIT PENDING/POSTED, but it is extremely long and repeats some warnings, most notably the `billId` sparse/inconsistent caveat (Nubank) appearing twice. It uses sentences economically almost everywhere and earns its length for a complex tool, but the redundancy and volume keep it slightly short of the highest standard.

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?

For a tool with 8 parameters, no output schema, and 0% schema coverage, the description covers everything an agent needs: parameters, page limits, filtering semantics, response shape, echo identification, connection-health troubleshooting, provider incidents, and differentiation from sibling tools. No significant contextual gap remains.

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%, but the description compensates comprehensively: `from`/`to` are explained as ISO YYYY-MM-DD date filters; `search_queries` semantics (case/accent-insensitive OR-substring match) are detailed; `page`/`page_size` manual pagination is distinct from auto-paginated default; `detail` values compact/rich/raw are fully described; even `account_ids` bulk support is noted. The description makes every parameter actionable despite the empty schema coverage.

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 transactions for a bank account (BANK or CREDIT type)') and immediately distinguishes itself from siblings by noting this is the ONLY way to get itemized credit card transactions, while also explicitly routing standardized bill totals to openfinance_list_credit_card_bills. It is unambiguous about what the tool does and how it differs from nearby 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?

Usage guidance is explicit with when/when-not and named alternatives: it says when to use openfinance_list_credit_card_bills, when to use openfinance_list_accounts for closing/due dates, when to use openfinance_get_item_status, and even when to pass `to`=today to list only what already happened. It also warns against reading the first row without checking `scheduled` and against reconstructing bill totals by summing transactions.

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
Disambiguation5/5

Each tool targets a distinct resource or action: the openfinance_* family cleanly separates accounts, transactions, bills, loans, investments, connections, sync, and provider health, while platform tools (authenticate, connect, marketplace, toolkit_info) cover different concerns. Even potentially similar pairs like get_item_status vs provider_status and list_transactions vs list_transactions_by_item are clearly differentiated by their descriptions.

Naming Consistency4/5

Open Finance tools follow a uniform openfinance_<verb>_<noun> snake_case pattern, and the generic tools are also readable English verbs/nouns (authenticate, connect, report_bug). The main inconsistency is that a few generic tools are bare nouns (marketplace, toolkit_info) while the rest are verbs, but the mix is predictable and never confusing.

Tool Count3/5

25 tools sit at the upper boundary of what is comfortable, and the set spans two distinct domains (Open Finance data access plus MCP platform/marketplace management). Each tool does appear to earn its place, but the count is heavy enough to feel borderline rather than optimally scoped.

Completeness5/5

The Open Finance surface is thorough: list/get for accounts, transactions, bills, loans, and investments, with sync, connection health, provider status, category correction, and disconnect all covered. The platform side also covers authentication, connection status, marketplace discovery/invocation, bug reporting, and version info, leaving no obvious dead ends for the stated purpose.