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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

Schema Changelog

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

  1. Added
  2. Removed
  3. Added
  4. Removed
  5. Added
  6. Removed
  7. Changed2 schema fields changed
    • addedInput schema / properties / item_id
      Added value: +{
      +  "type": "string"
      +}
    • addedInput schema / properties / item_ids
      Added value: +{
      +  "items": {
      +    "type": "string"
      +  },
      +  "type": "array"
      +}
  8. Added
  9. Removed
  10. First observed

TDQS

A4.8/5.0
Behavior5/5

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

Annotations only cover safety (readOnlyHint, idempotentHint, non-destructive), so the description carries the full behavioral burden and exceeds it. It discloses connector-dependent semantics ('CREDIT balance... do NOT treat `balance` as "this month's bill"'), data-lag pitfalls (bankData.closingBalance/automaticallyInvestedBalance 'can briefly carry a stale/phantom value'), incident impact ('Do not present those values as real'), and deduplication rules for identity_notice. No contradiction with annotations; the description adds substantial context beyond them.

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 every block targets a distinct failure mode: field semantics, brand-vs-legal-name, item scoping, credit balance caveats, balance_notice, data lag, provider_incident, identity_notice, and bulk support. It is front-loaded — the core purpose lands in the first sentence — and logically organized from core semantics to edge-case warnings. It borders on verbose but contains no dead weight given the tool's complexity.

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 no output schema and 0% parameter descriptions, the description must serve as the agent's complete mental model, and it does: it covers return fields, response shape differences (root-level vs results-array tagging), conditional notices (balance_notice, provider_incident, identity_notice), data freshness caveats, and the correct sibling tool for standardized amounts. For a tool with 4 optional parameters and this many conditional behaviors, nothing critical is missing.

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 description coverage is 0%, so the description must compensate and mostly does: it explains `item` (omit for all banks vs pass for single bank), `item_ids` ('Bulk support: accepts item_ids for batched execution'), and `type` (BANK/CREDIT). The one gap is that `item_id` is never explicitly defined or distinguished from `item`/`item_ids`, leaving the agent to guess which identifier form to use in which scenario.

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 states a specific verb and resource: 'Returns accounts for a bank connection: BANK (checking/savings) and CREDIT (credit card) with balance, number, type, subtype, bankData, and creditData.' It distinguishes itself from siblings by naming the filterable account types and explicitly referencing openfinance_list_credit_card_bills as the tool for bills. The title 'List Bank Accounts' reinforces the scope.

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?

Provides explicit when-to-use instructions with alternatives: 'OMIT `item` to list accounts across ALL linked banks at once... use this when the user asks for "my accounts/cards" without naming a bank' and 'Pass `item` to target a single bank.' It also routes to the sibling tool when standardized bill amounts are needed: 'For a standardized open-bill amount and total debt that mean the same across connectors, use openfinance_list_credit_card_bills.' No usage decision is left to inference.

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.