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BTGPactual MCP

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

A4.7/5.0
Behavior5/5

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

Annotations already mark the tool read-only and idempotent, and the description adds substantial behavioral context: auto-pagination up to a 5000 ceiling, scheduled rows and their ordering semantics, per-connector differences in PENDING/POSTED coverage, 'billForecastDate' caveats, and the non-cons of billId sparse data. It also documents the error shape ({ total:0, results:[], warning, error }) and the optional account echo block.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

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

The description is organized into helpful sections and front-loads the core behavior, but it is very long and repeats several caveats (e.g., the billId 'do not sum by it' warning and the 5000/truncated trend/truncation guidance appear more than once). A more succinct, single source of truth for each repeated concept would keep the same behavioral value with better conciseness.

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?

Given no output schema and high domain complexity, the description covers each important behavioral dimension: result coverage, scheduling, pagination, per-connector variance, error handling, troubleshooting, and integration with sibling tools. An agent has what it needs to correctly invoke the tool and interpret the returned values, and the only other has minor edge features like the account_ids bulk parameter not explicitly documented.

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?

The schema has no field descriptions, so the tool description carries almost the entire explanatory burden. It thoroughly explains from/to formats, search_queries semantics, detail enum values ('compact', 'rich', 'raw'), and the page/page_size auto vs manual pagination contract. The main gap is the account_id/account_ids (especially account_ids) parameter is never explicitly walked through, though 'specified bank account' and the account echo imply account_id.

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 names the exact verb ('Returns transactions'), resource ('bank account'), and account types (BANK/CREDIT), and marks credit card transaction itemization as the ONLY way to get it, differentiating this tool from openfinance_list_credit_card_bills and other siblings. It is unambiguous and specific enough for an agent to know what this tool is for.

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 a standardized open-bill or total debt period, use openfinance_list_accounts for card statement closing/due dates, and use openfinance_get_item_status or openfinance_force_sync when a credit transaction total is zero and the sync failed. This exceeds the minimum by providing both when-to-use and when-not-to-use guidance.

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
Disambiguation4/5

The openfinance_* family is well-decomposed by resource (accounts, transactions, bills, investments, loans, connections) and by action (list, get, update, sync, disconnect), and the highly detailed descriptions make each tool's boundaries clear. A few pairs can be confused at a glance (list_accounts vs. get_account_balance, list_transactions vs. list_transactions_by_item, connect vs. toolkit_info), but the semantics are ultimately distinguishable.

Naming Consistency3/5

The openfinance_* group follows a strong and consistent verb_noun pattern (list_transactions, get_item_status, force_sync). However, the platform-level tools are a mixed bag—authenticate, connect, marketplace, toolkit_info, show_version, report_bug—so there is no single predictable naming scheme across the whole server.

Tool Count3/5

At 25 tools, the server is at the heavy/borderline boundary, though most of the surface area is genuinely needed for Open Finance reads and connection lifecycle management. Some functions overlap (list_accounts returns balances that get_account_balance also exposes), making the set feel slightly bloated and closer to a two-in-one platform (Open Finance + marketplace).

Completeness4/5

The server covers the full Open Finance discovery and connectivity lifecycle: search, reconnect, force sync, provider health, accounts, transactions, credit cards, investments, loans, and category correction. Gaps like initiating a new connection or executing financial movements are handled through connect URLs rather than direct tools, so the unavoidable dead-end is likely workable and the core read/aggregate domain is well covered.