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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 declare readOnlyHint, idempotentHint, destructiveHint. The description adds critical behavioral traits: truncation at 5000/account with truncated:true flag, and a provider_incident block when the Open Finance provider has an open incident affecting a connected bank, noting that data may be incomplete and reconnecting does not fix it. No contradiction with annotations.

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 quite long but well-organized and information-dense. Every sentence adds value. A slightly more front-loaded summary could improve conciseness, but the structure is logical and not wasteful. The length is justified by the complexity of the tool.

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 9 parameters, no output schema, and complex behavior (truncation, provider incidents), the description is complete. It explains all parameters, usage patterns, and edge cases. An agent can correctly select and invoke the tool based on this description alone.

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 description coverage is 0%, so the description fully compensates. It explains each parameter: item accepts connector_id/connector_name/item_id; from/to are ISO dates; granularity: 'monthly' vs 'raw' with behavior differences; detail: 'compact', 'rich', 'raw' with enrichment details; type filters BANK or CREDIT; top_n implied as 'largest N'; item_ids for batch. All 9 parameters are covered semantically.

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 the tool does consolidated cash-flow analysis for a whole bank connection in one call, using specific verbs like 'analyze', 'resolves', 'fans out'. It distinguishes from sibling tools like openfinance_list_transactions and openfinance_list_accounts by explicitly noting that no prior account listing is needed.

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?

The description explicitly says when to use this tool vs alternatives: 'you do NOT need to call openfinance_list_accounts first'. It also provides guidance on granularity (monthly default, raw for itemized rows) and detail options, plus context for specific use cases like 'análise anual/mensal'. Bulk support via item_ids is mentioned.

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

A3.8/5.0
Disambiguation3/5

The openfinance_* tools are mostly distinct, but several have overlapping boundaries: openfinance_list_transactions vs openfinance_list_transactions_by_item, openfinance_get_item_status vs openfinance_provider_status, and openfinance_list_accounts carrying balance vs openfinance_get_account_balance. The platform-level tools also blur somewhat: marketplace, toolkit_info, and connect all touch installed or available services.

Naming Consistency3/5

The openfinance_* group follows a consistent list/get/update verb pattern in snake_case, but platform-level tools like authenticate, connect, marketplace, report_bug, show_version, and toolkit_info break that convention. The set is readable, but it is split between two clearly different naming styles.

Tool Count3/5

At 25 tools, the server is at the heavy end, and several are platform/MCP-management helpers rather than core banking capabilities. The count is not absurd for a broad Open Finance + marketplace adapter, but it feels more cluttered than a focused financial data toolset should be.

Completeness4/5

The Open Finance surface is thorough: accounts, transactions, balances, credit card bills, loans, investments, connection lifecycle, sync, provider status, and category correction are all covered. The main gaps are the absence of a direct connect/create action (only URLs are returned) and no write operations beyond category updates, but for a read-centric financial data adapter this is close to complete.

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