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Pague Veloz Serasa MCP

openfinance_get_credit_card_bill

Read-onlyIdempotent

Returns bill-level detail for one or more credit card bills by id (GET /bills/:id): dueDate, billClosingDate (when the cycle closed — the boundary that defines which purchases belong to this bill), totalAmount, financeCharges and payments[] (id, paymentDate, amount, valueType, paymentMode). ITEMIZED PURCHASES (OPT-IN): the bank's bill payload has no transactions in it — they live on the card ACCOUNT. Pass include_transactions:true (plus account_id of the credit card, since the bill itself carries no account reference) and each row also gets transactions[], transactions_count, transactions_sum and reconciles_with_total, already matched to that bill. Always check transactions_basis: bill_id = exact (the bank tagged each transaction with this bill — the normal case for CLOSED bills), date_window = ESTIMATE (confidence:'low', window echoed in transactions_window) used when the connector tags no billId or the bill is still open (PENDING lines get no billId until the cycle closes), unavailable = no link possible. Opt-in because it costs an extra full transaction scan of the account. Whatever the basis, the bill's own totalAmount is authoritative — do NOT rebuild it by summing transactions. Without the opt-in the response carries a transactions_hint; you can also fetch them yourself via openfinance_list_transactions with the credit card account_id and a from/to range ending at billClosingDate. Pass bill_ids as an array — use openfinance_list_credit_card_bills first to discover ids. { results, errors } batch shape. NOTE: Pluggy does NOT return a paid/status field. In Brazilian Open Finance, payments[] reflects payments registered during THIS bill's billing cycle — typically the payment of the PREVIOUS bill (do NOT assume this bill was paid just because payments[] is non-empty). To check paid status, prefer openfinance_list_credit_card_bills which derives payment_status via cross-bill match.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bill_idsYes
account_idNo
transactions_detailNo
include_transactionsNo

Schema Changelog

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

  1. Added
  2. Removed
  3. Added
  4. Removed
  5. Added
  6. Removed
  7. Changed3 schema fields changed
    • addedInput schema / properties / account_id
      Added value: +{
      +  "type": "string"
      +}
    • addedInput schema / properties / include_transactions
      Added value: +{
      +  "type": "boolean"
      +}
    • addedInput schema / properties / transactions_detail
      Added value: +{
      +  "enum": [
      +    "compact",
      +    "rich",
      +    "raw"
      +  ],
      +  "type": "string"
      +}
  8. Added
  9. Removed
  10. First observed

TDQS

A4.8/5.0
Behavior5/5

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

Annotations already declare readOnlyHint/idempotentHint/destructiveHint = false-safe GET, and the description adds substantial behavioral context beyond them: the three transactions_basis states, 'totalAmount is authoritative — do NOT roll back to summing transactions', the payments[] caveat (payments reflect the PREVIOUS bill cycle, not a paid flag from this bill), the cost of the transactions opt-in (extra full transaction scan), and the Pluggy no-paid-field note. These are exactly the traps that cause invocers to misinterpret results. 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The first sentence states the core purpose and return shape, and every subsequent sentence targets a real decision or irritate (discovery step, estimate-state, correctness warning, paid-status myth). None of the ~180 words are filler; each maps to something that would otherwise cause a wrong call or a misinterpreted result.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema present, the description carries the return-format burden and it covers payments/transactions arrays and the batch shape plus batch semantics. It names the exact endpoint, repeatable idempotent semantics, the relevant siblings, and the paid caveates. The only genuine gap is the under-documented transactions_detail enum and edge behaviors (e.g., error when an id not found) — but given the batch shape, these are deemable minor.

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

Parameters4/5

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

Schema description coverage is 0%, so the description carries the full burden. It explains bill_ids (array, why it's required), account_id('bill itself carries no account reference'), and include_transactions (opt-in semantics, basis behavior, cost). However, transactions_detail (enum compact/rich/raw) is never mentioned in the description or schema, leaving an agent without any basis to pick an enum value. 3 out of 4 params are richly documented; one is fully opaque, hence 4.

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+resource scope: 'Returns bill-level detail for one or more credit card bills by id (GET /bills/:id)', immediately distinguishing it from the sibling that lists bills (openfinance_list_credit_card_bills) and the one that lists account transactions (openfinance_list_transactions). It enumerates concrete returned fields, so an agent can tell exactly what this tool produces.

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 sequencing ('use openfinance_list_credit_card_bills first to discover ids'), an explicit alternative for fetching transactions (openfinance_list_transactions with from/to range ending at billClosingDate), and an explicit routing preference ('To check paid status, prefer openfinance_list_credit_card_bills'). It also states when the opt-in transactions mode is unavailable (open or untagged bills use date_window).

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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