Skip to main content
Glama

Banco Sofisa MCP

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

A4.8/5.0
Behavior5/5

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

Annotations only declare read-only and idempotent, but the description discloses crucial behavioral nuances: connector-dependent credit balance semantics, balance_notice meaning, stale bankData fields after connection creation, provider_incident reliability warnings, and identity_notice deduplication guidance. This adds substantial value over the structured hints.

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 front-loaded with the core returns and uses clear topical sections for warnings. Some redundancy and a detached bulk-support note at the end make it less concise than ideal, but the length is justified by the number of subtle behavioral caveats.

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, the description carries the full burden and covers response structure (results vs root), field meanings, notices, and failure modes. It also routes to sibling tools for bill data, making the tool safe and correctly invocable without additional context.

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 0% description coverage, and the description compensates well for item, type, and item_ids by explaining their effect on output. However, item_id is only mentioned as a response field tag, not clearly explained as a parameter for selecting a single connection, leaving one of four parameters under-specified.

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?

States a specific verb (returns), resource (accounts), and account types (BANK/CREDIT), and enumerates the fields returned. It distinguishes itself from sibling openfinance_list_credit_card_bills by pointing to that tool for bill data, and the scope (all banks vs single bank) is clear.

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?

Explicitly instructs when to omit item vs pass item, when to use openfinance_list_credit_card_bills instead for standardized bill amounts, and warns against treating CREDIT balance as the current bill. This is concrete how-to guidance beyond generic context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.3/5.0
Disambiguation4/5

The openfinance_* tools are cleanly separated by resource and action (accounts, transactions, bills, investments, loans, connections), and the list-versus-get patterns are distinguishable. The main weak spots are the broad 'marketplace' tool, which bundles many sub-actions, and mild overlap between list_accounts/get_account_balance and list_transactions/list_transactions_by_item.

Naming Consistency4/5

The banking tools follow a consistent openfinance_<verb>_<noun> convention, with list_/get_ prefixes used predictably. A few deviations like 'provider_status' (missing a verb) and non-prefixed platform tools (authenticate, connect, marketplace, toolkit_info) keep it from being perfectly uniform.

Tool Count4/5

25 tools is on the heavy side, but the Open Finance domain justifies a wide surface: balances, transactions, bills, investments, loans, connections, sync, and provider health each need their own entry points. The platform/meta tools add some bulk but are individually useful.

Completeness5/5

The Open Finance surface covers the full read lifecycle: discover/search connectors, connect via URLs, list and inspect connections, force sync, check provider/connection status, and read accounts, balances, transactions, credit card bills, investments, and loans. It also supports the one clearly expected write operation (transaction category correction), leaving no obvious dead ends in the core domain.