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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. 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"
      +}
  4. Added
  5. Removed
  6. First observed

TDQS

A4.7/5.0
Behavior5/5

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

Beyond the safe-read annotations, the description adds critical behavioral nuance: transactions_basis accuracy for closed vs pending bills, the warning not to recompute totalAmount, the meaning of payments[] in Brazilian Open Finance, and the absence of a paid/status field. No contradiction with the annotations exists.

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?

All six sentences/ paragraphs earn their place? There is substantial detail but no filler. The response shape is front-loaded, then optional transformer behavior and caveats follow in a logical order.

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 no output schema, the description thoroughly specifies the return shape, including optional transaction enrichment, batch format, and the meaning of key discriminators like transactions_basis. It also covers the main da-ffers/common traps around Brazilian Open Finance.

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?

With zero schema description coverage, the description carries the parameter semantics and does so well: account_id is conditional on include_transactions, bill_ids requires prior list discovery, and include fields are documented. Only transactions_detail is not explicitly covered, though its enum values (compact/rich/raw/enum) are somewhat self-explanatory.

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 first sentence clearly states it returns bill-level detail for one or more credit card bills by id, names the endpoint and key fields, and distinguishes it from the list-oriented sibling. The optional transactions mode is also explained as a specific additional behavior rather than a generic statement.

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?

It gives actionable routing: use openfinance_list_credit_card_bills first to discover bill IDs, and prefer that tool when checking payment status. It could be slightly more explicit about when not to use this tool for transaction-level searches, but the alternatives and conditions are reasonably clear.

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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