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by io.github.mcp-dir

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

A4.9/5.0
Behavior5/5

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

Annotations already indicate readOnly, idempotent, non-destructive hints. The description adds significant behavioral context: internal account resolution, per-account cap of 5000 with truncation flag, provider incident block, bulk support, and default granularity behavior. No contradictions.

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 lengthy but front-loaded with the core purpose. Every sentence adds value for a complex tool. Could be slightly more concise but remains clear and well-organized.

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?

Despite no output schema, the description explains the output for default granularity (por_mes, top_despesas, etc.) and mentions truncation and provider incidents. Covers all essential aspects for a tool with 9 optional parameters.

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?

With 0% schema coverage, the description fully explains all 9 parameters: item (accepts connector_id, connector_name, item_id), from/to (ISO dates), granularity (monthly/raw with defaults), detail (compact/rich/raw), type (BANK/CREDIT), top_n, item_ids. Default values and output structure are described.

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 identifies the tool as performing consolidated cash-flow analysis for a bank connection, resolves accounts internally, and distinguishes itself from siblings like openfinance_list_accounts. The verb 'analyze' and resource 'transactions' are explicit.

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?

Provides explicit guidance on when to use (cash-flow analysis, annual/monthly queries), when not to call other tools (no need for openfinance_list_accounts first), and explains parameter behavior (omit item for all banks, granularity options, detail levels). Also warns about caps and provider incidents.

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

A4/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, especially the openfinance_* family, but there is some overlap: openfinance_list_transactions and openfinance_list_transactions_by_item both cover transaction listing (though the latter is aggregated by connection), and openfinance_get_account_balance vs openfinance_list_accounts both return balance info. Descriptions are detailed enough to guide selection, so ambiguity is limited but present.

Naming Consistency4/5

The 19 openfinance_* tools follow a consistent verb_noun pattern (list_accounts, get_balance, force_sync). The remaining generic tools (connect, authenticate, marketplace, report_bug, etc.) don't share the prefix but use clear verb-style names. Two conventions exist, but within each group naming is predictable and readable.

Tool Count3/5

25 tools is at the high end but supports the dual scope: platform management (connect, auth, marketplace) and comprehensive Open Finance data access (19 tools). The count feels slightly heavy, especially with the massive marketplace tool that bundles many actions into one, but it's justified by the breadth of the financial domain.

Completeness4/5

The Open Finance surface is quite complete: accounts, balances, transactions, bills, loans, investments, categories, connections, sync, and provider status are all covered. Missing minor operations like updating categories is present, but there is no obvious gap like missing update/delete for transactions (not applicable). The platform side is minimal but sufficient for auth and info.

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