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Banco Sofisa MCP

openfinance_get_account_balance

Read-onlyIdempotent

Returns the latest available balance per account id (GET /accounts/:id/balance). This is the freshest balance the provider can serve, but it is a SNAPSHOT anchored to the connection's last upstream sync: the updateDateTime/updatedAt in each row is that sync instant, NOT a to-the-second live read. If a movement that just happened is not reflected yet, or the balance disagrees with the sum of openfinance_list_transactions, run openfinance_force_sync to pull fresh data and then re-read. Pass account_ids as an array (1–50). CREDIT accounts may return Pluggy BALANCE_FETCH_ERROR (provider could not fetch it) or BALANCE_CONSENT_ERROR (the institution refused it because the consent lacks the balance permission — reconnecting the bank restores it) — those rows include a structured warning instead of throwing. When the financial institution is temporarily unavailable upstream (5xx) or the connector is not Open Finance, the row DEGRADES to the last-synced balance with realtime: false, updatedAt and a warning instead of an error. Response shape: { results: [...], errors: [{ id, status, message }] }.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
account_idsYes

TDQS

A4.9/5.0
Behavior5/5

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

Beyond annotations (readOnly, idempotent, non-destructive), the description reveals snapshot semantics, the meaning of updateDateTime/updatedAt, structured warnings instead of thrown errors, and degradation behavior for 5xx or non-Open Finance connectors. This is substantial behavioral context not available from 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 sentence delivers critical operational information: freshness caveat, comparison to transactions, sync trigger, error conditions, and degradation behavior. It is front-loaded with the core purpose and organized by importance without redundancy.

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, the description richly covers return semantics, error cases, and corrective actions. It tells the agent how to interpret rows, what triggers warning vs. error, and how to handle each failure mode, making the tool callable without missing key 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?

With 0% schema description coverage, the description compensates by specifying that account_ids must be an array of 1–50 items. It adds the size constraint and clarifies the array holds account identifiers, though it does not detail error behavior for invalid IDs or non-string entries.

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 and resource: 'Returns the latest available balance per account id' with an explicit endpoint. It distinguishes itself from siblings by clarifying this is a snapshot anchored to the last upstream sync, not a live read, which separates it from transaction listing and sync tools.

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?

It gives explicit when-to-use guidance: if a balance is stale or disagrees with transactions, run openfinance_force_sync and re-read. It also explains handling of credit-specific errors by reconnecting the bank, which tells the agent what to do instead of failing.

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

A4.3/5.0
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.