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PagBank MCP

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?

Discloses capabilities beyond annotations: scan caps at 5000/account with truncated flag, provider_incident block, bulk support. Annotations indicate readOnlyHint, idempotentHint, destructiveHint=false, which are consistent.

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?

Description is well-structured but somewhat verbose. However, all sentences add value and it is organized logicaly from purpose to parameters to edge cases. Could trim a bit without losing clarity.

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?

With 9 parameters, no output schema, and high complexity, the description fully covers usage, parameter semantics, edge cases (truncated, provider_incident), and bulk support. No gaps.

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 description explains all 9 parameters in detail: item accepts connector_id/connector_name/item_id, from/to are ISO dates, granularity choices, detail levels, type filtering, top_n, item_ids for bulk. Adds meaning beyond 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?

Clearly states 'Consolidated cash-flow analysis for a whole bank CONNECTION over a period, in ONE call.' Distinguishes from siblings by noting it resolves accounts internally, avoiding the need to call openfinance_list_accounts first.

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?

Explicitly tells when to use (for 'análise anual/mensal', 'fluxo de caixa', etc.) and when to use alternatives (raw granularity for itemized rows, detail for enrichment). Also says 'you do NOT need to call openfinance_list_accounts first'.

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

A4.2/5.0
Disambiguation5/5

Each openfinance_* tool targets a distinct resource (account, transaction, bill, loan, investment) with a clear action (get/list/update/force_sync). The administrative tools (connect, authenticate, report_bug) are clearly separate. No two tools appear to perform the same function.

Naming Consistency4/5

The openfinance_* tools follow a consistent verb_noun pattern (e.g., get_account_balance, list_transactions, update_transaction_category). Minor deviations like openfinance_provider_status (lacks a verb) and openfinance_force_sync (verb phrase) slightly break the pattern, but the overall convention is predictable.

Tool Count4/5

25 tools is on the higher end but appropriate for a comprehensive Open Finance server covering accounts, transactions, bills, loans, investments, connections, and administration. Each tool has a distinct purpose and none feel redundant.

Completeness5/5

The tool surface is complete for the domain: it covers connection management (connect/disconnect/force sync/status), account and transaction queries, credit card bills, loans, investments, and transaction categorization, plus admin utilities. No obvious gaps that would block typical workflows.

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