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Glama

Pague Veloz Serasa 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

Schema Changelog

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

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TDQS

A4.8/5.0
Behavior5/5

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

Even though annotations already mark this as read-only and idempotent, the description adds substantial behavioral detail: balances are sync-anchored snapshots, `updatedAt` is the sync instant rather than live time, certain errors degrade to warnings with `realtime: false`, and specific Pluggy error codes are disclosed. This goes well beyond the structured 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 dense but every sentence earns its place: purpose, endpoint, snapshot caveat, remediation path, parameter format, error modes, degradation behavior, and response envelope are all covered without fluff. It is front-loaded by stating what the tool returns before diving into edge cases.

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?

For a tool with no output schema, the description is remarkably complete: it gives the response shape, error row structure, degraded-mode fields, and the explicit instruction to force-sync before re-reading. An agent has enough information to invoke it correctly and interpret the result without further schemas or external knowledge.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, but the description fully compensates for the single `account_ids` parameter by specifying that it must be an array of 1–50 account IDs. It also ties the parameter to behavior, noting per-account rows and CREDIT-account error modes. The description carries the entire semantic burden and does so effectively.

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 the latest available balance per account id' and names the endpoint. It is immediately distinct from sibling tools like openfinance_list_transactions and openfinance_get_accounts_detail because it focuses solely on balance retrieval, with no ambiguity about what it returns.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives clear operational context: it explains the snapshot nature of the data, when staleness can occur, and explicitly instructs to call openfinance_force_sync and then re-read when the balance seems stale or disagrees with transactions. It doesn't explicitly contrast itself with every potentially overlapping sibling, but the primary usage condition is clear.

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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