Skip to main content
Glama

Banco do Brasil MCP

openfinance_get_loan_detail

Read-onlyIdempotent

Returns full loan contract detail by id (GET /loans/:loanId): interestRates[] (taxType, ratePercentage, indexer), contractedFinanceCharges[], balloonPayments[], warranties[], installments schedule (installmentsCount, paidInstallments, numberOfInstallmentsRemaining, installmentFrequency), amortizationScheduled, CET, ipocCode and dates. Use after openfinance_list_loans to deep-dive on a specific contract. Pass loan_ids as an array (1-50). { results, errors } batch shape.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
loan_idsYes

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already indicate readOnlyHint, idempotentHint, and destructiveHint, so the description adds moderate behavioral context (e.g., batch response structure `{ results, errors }`). It doesn't mention error handling or rate limits, but overall consistent 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 a single paragraph with three sentences, front-loading purpose then fields, usage, and parameter details. No fluff, but could be more structured (e.g., bullet points for fields). Still efficient and informative.

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?

Given complexity and lack of output schema, the description lists many fields and indicates the batch response shape. It also states the endpoint and usage context with sibling. Missing details like authentication are not critical and are covered by annotations.

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 compensates well by specifying 'Pass `loan_ids` as an array (1-50)', clarifying type and range. It also implies the parameter accepts up to 50 items, adding meaning beyond the raw 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?

The description clearly states the tool returns full loan contract detail by ID, listing specific fields (interestRates, installments, etc.). It also distinguishes from the sibling tool openfinance_list_loans by advising to use it after listing, providing a clear verb+resource+context.

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?

Explicit guidance to use after openfinance_list_loans for deep-diving, and notes the batch parameter limit (1-50 IDs) and response shape. Though it doesn't explicitly state when not to use, the context is strong and covers key usage constraints.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4/5.0
Disambiguation4/5

Most tools target distinct resources and operations (balance, accounts, loans, investments, connections, provider status), but credit card bill handling is split across three overlapping tools (get_credit_card_bill, list_credit_card_bills, list_transactions), which could cause misselection. The platform-level tools (authenticate, connect, marketplace, etc.) are clearly distinct from the finance tools.

Naming Consistency3/5

The openfinance_* tools mostly follow a verb_noun snake_case pattern (list_accounts, get_account_balance, update_transaction_category), but a few deviate (openfinance_provider_status, openfinance_search_bank_connectors). The non-prefixed platform tools break the pattern entirely with mixed styles: verbs (connect, authenticate), nouns (marketplace), and noun_verb (report_bug, show_version).

Tool Count3/5

At 25 tools, this sits at the high end of reasonable scope. Each Open Finance tool maps to a specific endpoint or workflow, and the platform tools are needed for the MCP meta-layer, but the sheer number makes the set feel heavy and harder to navigate.

Completeness4/5

The Open Finance surface is thorough: connection lifecycle, accounts, balances, transactions, credit card bills, loans, investments, categories, and provider health. Minor gaps exist (e.g., no webhook management, no bulk CSV export), but core workflows are well covered and there are no dead ends.