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Banco do Nordeste do Brasil MCP

by io.github.mcp-dir

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

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true; description adds batch shape '{ results, errors }' and confirms read-only nature.

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?

Single efficient sentence front-loads purpose, then lists fields, then usage guidance. No fluff.

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?

Simple tool with one parameter, no output schema; description covers all needed info: usage, batch shape, response structure.

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 has 0% description coverage; description compensates by explaining 'Pass loan_ids as an array (1-50)', adding array bounds and purpose.

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?

Description states 'Returns full loan contract detail by id', lists specific fields, and explicitly distinguishes from sibling (use after openfinance_list_loans).

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?

Clearly says 'Use after openfinance_list_loans to deep-dive on a specific contract' and gives parameter guidance (array of 1-50).

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

A3.9/5.0
Disambiguation4/5

Most openfinance_* tools target a distinct resource and action, and the descriptions carefully separate overlapping endpoints like openfinance_list_transactions vs openfinance_list_transactions_by_item and openfinance_get_credit_card_bill vs openfinance_list_credit_card_bills. The main ambiguity risk is the broad marketplace mega-tool, but its many sub-capabilities are explicitly enumerated.

Naming Consistency4/5

Tool names consistently use snake_case with a strong openfinance_ prefix and verb-led patterns like list_, get_, update_, disconnect_, and force_sync. Minor deviations exist: openfinance_provider_status lacks a verb, openfinance_get_accounts_detail is awkwardly pluralized, and the platform tools (connect, marketplace, authenticate) break from the prefix pattern.

Tool Count3/5

At 25 tools, the server sits at the heavy end of the appropriate range. The Open Finance domain is complex enough to justify most entries, but the inclusion of platform-level tools like marketplace, authenticate, connect, and toolkit_info makes the overall surface feel denser and less focused than a pure banking-data server.

Completeness4/5

The set provides strong coverage of the Open Finance lifecycle: connections, sync/status, accounts, balances, transactions, credit card bills, loans, investments, category management, and provider health. Minor gaps exist, such as no dedicated investment-detail-by-id tool and no way to set custom connection labels, but these are workable and do not create critical dead ends.

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