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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.

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  11. 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"
      +}
  12. Added
  13. Removed
  14. First observed

TDQS

A4.8/5.0
Behavior5/5

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

Annotations already indicate readOnlyHint=true and idempotentHint=true, so the description goes beyond them by disclosing connector-dependent `balance` semantics, `balance_notice`, potential lag in `bankData.closingBalance`, provider incidents, and identity notices. These are non-obvious behavioral traits that materially affect how an agent interprets results. No contradiction with annotations exists.

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 highly informative, and it front-loads the core return shape before covering edge cases. Every paragraph adds operational value, though some sections (e.g., provider_incident and identity_notice) could arguably be condensed without losing meaning. Overall, it is structured and readable despite its length.

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 there is no output schema and no parameter descriptions in the schema, the description does an exceptional job of covering return fields, field semantics, edge cases like `balance_notice` and provider incidents, and bulk execution. An agent has enough context to select and invoke the tool correctly and to interpret potentially misleading data.

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 carries the burden of explaining parameters. It explains `item` and `item_ids` quite well, and implies `type` through the BANK/CREDIT distinctions. However, it does not explicitly describe the singular `item_id` parameter or how it relates to `item`/`item_ids`, leaving a small ambiguity for the agent.

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 ('Returns') and a concrete resource: accounts for a bank connection, with BANK and CREDIT types and a list of returned fields. It also clearly distinguishes the `bank` field from the account `name`, clarifying what the tool actually returns. This differentiates it from siblings like openfinance_list_credit_card_bills and openfinance_get_accounts_detail.

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 explicitly tells the agent when to omit `item` (all linked banks) vs pass `item` (single bank), which is a direct usage rule. It also names openfinance_list_credit_card_bills as the alternative when the user needs standardized billing amounts, and mentions openfinance_force_sync for stale provider-reported fields. This gives clear when/when-not 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_* tools are mostly separated by resource (accounts, bills, loans, investments, connections), and the meta tools are distinct. The main ambiguities are openfinance_list_transactions vs openfinance_list_transactions_by_item, and openfinance_get_credit_card_bill vs openfinance_list_credit_card_bills, though their descriptions do clarify different intents.

Naming Consistency3/5

The openfinance_* family follows a consistent verb_noun pattern, and the generic platform tools use bare lowercase names like connect, authenticate, and marketplace. The mixed prefixes and the occasional singular/plural variation (get_credit_card_bill vs list_credit_card_bills) make the overall namespace readable but not fully uniform.

Tool Count3/5

25 tools is at the heavy end and combines two distinct areas: platform/meta tooling and a deep Open Finance adapter. Most openfinance tools are justifed by real endpoints, but the count feels bulky for an agent to browse, and the marketplace tool packs an unusually large number of capabilities into a single entry.

Completeness4/5

The Open Finance surface is unusually complete: accounts, balances, transactions, credit-card bills, loans, investments, connection status, force sync, provider status, category correction, and disconnect are all present. The platform side is also broad via marketplace and toolkit_info, with only minor granularity gaps such as no dedicated get-single-transaction tool or separate marketplace sub-tools.