Skip to main content
Glama

openfinance_list_transactions_by_item

Read-onlyIdempotent

Consolidated cash-flow analysis for a whole bank CONNECTION over a period, in ONE call. Resolves the connection's accounts internally and fans out their transactions, so you do NOT need to call openfinance_list_accounts first nor carry account_id uuids between calls. Pass item (connector_id, connector_name or item_id) to target one bank, or OMIT it to analyze ALL linked banks at once. from/to are ISO dates (YYYY-MM-DD). Default granularity:'monthly' returns a COMPACT summary (no raw rows): total entradas, saídas, saldo_liquido, monthly evolution (por_mes), and top_despesas/top_recebimentos (largest N each), plus a per-account breakdown (by_account). Use this for 'análise anual/mensal', 'fluxo de caixa', 'entradas e saídas', 'maiores gastos/recebimentos'. Set granularity:'raw' to ALSO get every consolidated transaction (heavier — only when itemized rows are needed); combine with detail:'rich' to enrich those rows with merchantInfo (cnpj/cnae/businessName/category) + extra creditCardMetadata (billId, purchaseDate, fees), or detail:'raw' for the full untouched Pluggy object per row, when the connector provides them. type filters BANK or CREDIT accounts. On a connection with many transactions the scan caps at 5000/account and flags truncated:true. May include a provider_incident block when the Open Finance provider has an OPEN incident affecting a connected bank: the totals/rows may be incomplete or wrong until the provider recovers, and reconnecting does not fix it.

Bulk support: accepts item_ids for batched execution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNo
fromNo
itemNo
typeNo
top_nNo
detailNo
item_idNo
item_idsNo
granularityNo

TDQS

A4.7/5.0
Behavior5/5

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

Discloses important behaviors beyond annotations: transaction caps at 5000/account with truncation flag, provider_incident block, bulk support, and default granularity behavior. All consistent with readOnlyHint and idempotentHint.

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?

Well-structured with front-loaded purpose and logical flow, but slightly verbose due to detailed parameter explanations. Still, every sentence adds essential context.

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?

Covers all parameters, output structure (summary fields), edge cases (truncation, provider incidents), and offers practical usage guidance, making it fully self-contained despite lacking an output schema.

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?

Despite 0% schema description coverage, the description comprehensively explains each parameter's meaning, types, and effects on output (e.g., granularity, detail, item, type), adding significant value over the bare schema.

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 clearly states it provides consolidated cash-flow analysis for a whole bank connection in one call, distinguishing it from sibling tools like openfinance_list_accounts and openfinance_list_transactions by handling account resolution internally.

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?

Explicitly explains that you do not need to call openfinance_list_accounts first and provides typical use cases (fluxo de caixa, maiores gastos), but lacks explicit 'when not to use' guidance for alternatives.

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

A4.1/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose. Even overlapping-looking tools like list_transactions vs list_transactions_by_item are clearly differentiated (per-account vs consolidated per-connection), and get vs list variants follow standard conventions. The marketplace tool bundles multiple actions but is its own meta-tool. No two tools appear to do the same thing.

Naming Consistency4/5

The openfinance_ prefix provides a consistent pattern for banking operations, with clear get/list/update/force_sync verbs. A few non-prefixed meta tools (authenticate, connect, marketplace, report_bug, show_version, toolkit_info) break the pattern, but they represent different functional domains and are still readable. Overall the convention is predictable.

Tool Count3/5

At 25 tools, this is on the heavy side per the calibration guidelines (16-25 feels heavy). However, the breadth of Open Finance resources (accounts, transactions, investments, loans, credit cards, connections, plus meta operations) largely justifies the count. It's borderline and could benefit from consolidation, but it's not excessive.

Completeness4/5

The tool surface covers the domain comprehensively: listing and getting accounts, transactions, investments, loans, credit card bills, connections, status, sync, category management, and provider health. Missing operations are minor (e.g., no explicit 'get single transaction' but list covers it; no create/update on banking data besides category and disconnect). Core workflows are fully supported.