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openfinance_list_accounts

Read-onlyIdempotent

Returns accounts for a bank connection: BANK (checking/savings) and CREDIT (credit card) with balance, number, type, subtype, bankData, and creditData. Also returns bank (the brand/connector name like 'Nubank Empresas' — same shown in the dashboard UI) and connector_id. Note: each account's name is the legal entity that issues the account (e.g. 'Nu Pagamentos S.A. - Instituição de Pagamento'), which is not the same as the brand — when referring to the bank in user-facing text, use bank. OMIT item to list accounts across ALL linked banks at once — the response aggregates every connection's accounts into results, each row tagged with its own bank/connector_id/item_id (use this when the user asks for 'my accounts/cards' without naming a bank). Pass item to target a single bank (response carries bank/connector_id/item_id at the root). CREDIT (credit card) balance: its meaning is CONNECTOR-DEPENDENT — some banks report the current open-bill partial, others the full revolving/installment debt — so do NOT treat balance as 'this month's bill'. The open billing cycle is defined by creditData.balanceCloseDate (when it closes) / balanceDueDate (when it's due). For a standardized open-bill amount and total debt that mean the same across connectors, use openfinance_list_credit_card_bills (open_bill + total_pending_debt, derived from PENDING transactions); closed bills come from that same tool's results. A CREDIT row may carry creditData.usedAmount (how much of THIS card's limit the bank reports as consumed) and a balance_notice. balance_notice means balance came back 0,00 while the bank's own payload indicates an outstanding amount — some issuers never fill the card's consolidated balance field. When it is present, do NOT tell the user the card has nothing to pay: read the amount from openfinance_list_credit_card_bills instead. bankData.closingBalance and automaticallyInvestedBalance are provider-reported extras that can LAG right after a connection is first created: the bank may publish the connection as UPDATED before those derived fields converge, so they can briefly carry a stale/phantom value that a force sync (openfinance_force_sync) reconciles. The account's own balance is authoritative — treat those two as hints until they agree with it. May include a provider_incident block when the Open Finance provider has an OPEN incident affecting a bank in this response: balances and credit limits may be unreliable (incomplete or wrong, e.g. a credit limit near 1,00) even with the connection UPDATED, until the provider recovers. Do not present those values as real. May include an identity_notice when the SAME account (same number) arrives via two connections stamped with DIFFERENT owner/taxNumber: in Open Finance those fields reflect each connection's CONSENT HOLDER (e.g. a joint account consented by both holders), so dedupe by account number before summing balances and do not attribute ownership by owner/taxNumber for those accounts.

Bulk support: accepts item_ids for batched execution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemNo
typeNo
item_idNo
item_idsNo

TDQS

A4.9/5.0
Behavior5/5

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

This is exceptionally transparent. It discloses connector-dependent semantics for CREDIT `balance`, the meaning of `balance_notice`, the lagging/phantom nature of `bankData.closingBalance` and `automaticallyInvestedBalance`, unreliable values during `provider_incident`, and deduplication requirements when `identity_notice` appears. These go far beyond the readOnlyHint and idempotentHint annotations.

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

Conciseness5/5

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

The description is long but every section adds necessary operational context: output fields, bank vs name semantics, bill alternatives, notices, bulk behavior. It is front-loaded with the core purpose and then organized by caveat, with no filler or repetition.

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, so the description carries the full burden of explaining return values and behavior. It covers the response shape (`results`, root-level fields), bank/connector tagging, credit bill interpretation, incident notices, and deduplication rules. This is complete enough for an agent to invoke the tool correctly and interpret results appropriately.

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 coverage is 0%, so the description must explain all parameters. It explains `item` (omit for all banks, pass for a single bank), `item_ids` (bulk), and `type` (BANK/CREDIT). However, the singular `item_id` input parameter is only mentioned as an output field, not clearly explained as an input, leaving a small gap.

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 accounts for a bank connection: BANK ... and CREDIT ... with balance, number, type, subtype, bankData, and creditData.' It clearly distinguishes this from sibling tools by explicitly naming openfinance_list_credit_card_bills as the right choice for bill-specific data and by explaining the tool's scoping behavior with or without `item`.

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 when-to-use guidance: 'use this when the user asks for my accounts/cards without naming a bank' and 'Pass item to target a single bank.' It also names an alternative tool for standardized bill amounts and total debt, and points to openfinance_force_sync for reconciling stale bankData fields.

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

A4.2/5.0
Disambiguation5/5

Each openfinance_* tool targets a distinct resource (account, transaction, bill, loan, investment) with a clear action (get/list/update/force_sync). The administrative tools (connect, authenticate, report_bug) are clearly separate. No two tools appear to perform the same function.

Naming Consistency4/5

The openfinance_* tools follow a consistent verb_noun pattern (e.g., get_account_balance, list_transactions, update_transaction_category). Minor deviations like openfinance_provider_status (lacks a verb) and openfinance_force_sync (verb phrase) slightly break the pattern, but the overall convention is predictable.

Tool Count4/5

25 tools is on the higher end but appropriate for a comprehensive Open Finance server covering accounts, transactions, bills, loans, investments, connections, and administration. Each tool has a distinct purpose and none feel redundant.

Completeness5/5

The tool surface is complete for the domain: it covers connection management (connect/disconnect/force sync/status), account and transaction queries, credit card bills, loans, investments, and transaction categorization, plus admin utilities. No obvious gaps that would block typical workflows.