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Confirmar transação pendente

confirm_pending_transaction

Marca uma transação existente (agendada ou com isPaid: false) como paga agora (paidDate = agora) e aplica o efeito no saldo da conta vinculada. Retorna 400 se a transação já estiver paga. Não reaplica efeito em cartão (limitUsed/fatura) — hoje só transações vinculadas a conta são afetadas por esta confirmação.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesID da transação pendente a confirmar

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNo
cardNo
dateNo
tagsNo
typeNo
agentNo
amountNo
cardIdNo
goalIdNo
isPaidNo
natureNo
userIdNo
accountNo
agentIdNo
categoryNo
equityIdNo
paidDateNo
accountIdNo
createdAtNo
updatedAtNo
categoryIdNo
costCenterNo
externalIdNo
descriptionNo
costCenterIdNo
categoryModelNo
scheduledDateNo
totalInstallmentsNo
billReminderSentAtNo
currentInstallmentNo
destinationAccountNo
destinationAccountIdNo
recurringTransactionIdNo

Schema Changelog

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

  1. Changed1 schema field changed
    • addedInput schema / properties / id / description
      Added value: +"ID da transação pendente a confirmar"
  2. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already mark this as a non-read-only, non-idempotent mutation. The description adds concrete behavioral details: sets paidDate, applies balance effect, does NOT affect card fields, and returns 400 on already-paid transactions. This enriches the annotation signals with actionable outcomes.

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?

Two sentences, front-loaded with the main action and immediately followed by error and limitation caveats. No filler, no repetition of schema details, and every sentence earns its place.

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?

For a single-parameter tool with an output schema, the description covers the operation, its side effects on balance, non-effects on card, and the 400 error case. It is fully sufficient for an agent to invoke it correctly.

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?

The schema already documents the single 'id' parameter at 100% coverage with 'ID da transação pendente a confirmar'. The description adds value by explicitly defining what 'pendente' means (agendada ou isPaid: false), narrowing the acceptable input and connecting it to the balance effect.

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 states a specific verb and resource: 'Marca uma transação existente... como paga agora' and precisely defines the target state (agendada ou com isPaid: false). It also clarifies what it does not do (card effect), distinguishing it from sibling confirmation tools.

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?

The description gives clear context for when to use the tool: for existing pending transactions only. It explicitly excludes already-paid transactions (returns 400) and card-affecting scenarios (no limitUsed/fatura effect). It does not name an alternative sibling, but the boundary is well-defined.

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

A3.7/5.0
Disambiguation3/5

The tools are individually well-described and many cross-reference their closest neighbors, but the set contains several easily confused clusters: create_transaction/confirm_new_transaction, update_equity/add_equity_valuation, the invoice tools (current_invoice, next_invoice, list_pending_invoices, get_invoice), and the many analytics/projection tools. The descriptions help a careful reader, but with 81 tools an agent is likely to misselect among these overlapping surfaces.

Naming Consistency3/5

CRUD operations consistently use create_/list_/update_/delete_ plus a resource noun, and all names are snake_case. However, there is a large second group of noun-phrase analytics tools (cashflow_forecast, spending_projection, categories_insights, transport_routine) plus one-off verbs such as can_afford, pay_invoice, and validate_current_invoices, so the naming convention is mixed even though it remains readable.

Tool Count1/5

81 tools is far beyond the practical MCP tool surface and exceeds the rubric's 50+ extreme-mismatch threshold. Even if each tool maps to a real finance endpoint, the volume overwhelms an agent's context window and makes selection much harder.

Completeness4/5

The server covers the finance lifecycle extensively: accounts, cards, invoices, transactions, recurring rules, budgets, goals, debts, equities, categories, tags, cost centers, profile, projections, and insights all have working read/write paths. Minor gaps remain, such as no update/delete for tags and no direct update/delete for system-generated invoices, but agents can usually work around these.