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Caixa Econômica Federal MCP

openfinance_search_bank_connectors

Read-onlyIdempotent

Searches the available bank connectors by name (pass keywords[], e.g. ['nubank','btg']) and returns, per match: the connector id, whether it's Open Finance or API (access), PF/PJ (audience), the user's already-linked connections (and accounts when include_accounts=true), and a ready connect_url with the bank pre-selected. Some non-Open-Finance credential connectors carry a caveat warning that they don't auto-update (needs periodic manual reconnection) — surface it so the user can prefer the institution's Open Finance connector for automation. Honors the user's plan (a PF plan hides PJ banks; a PJ plan covers BOTH — PF and PJ banks connect and count under the same plan). Call this BEFORE connecting to hand the user a one-click link to the right bank. keywords[] is REQUIRED — without it returns a hint (never dumps the whole catalog).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keywordsNo
include_accountsNo

Schema Changelog

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

  1. Added
  2. Removed
  3. Added
  4. Removed
  5. First observed

TDQS

A4.9/5.0
Behavior5/5

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive. The description adds critical details: empty keywords returns a hint, caveats for credential connectors, and plan-specific filtering. No contradictions.

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 comprehensive but slightly long. However, all sentences are informative and it front-loads the core purpose. Minor improvement could be breaking into paragraphs.

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?

No output schema exists, yet description details the return values (connector id, access, audience, etc.) and edge cases (empty keywords, plan behavior). It fully equips the agent.

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

Parameters5/5

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

Schema has 0% description coverage, so description fully compensates. It explains keywords[] with examples and clarifies include_accounts triggers account details. The required nature of keywords is emphasized.

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 it searches bank connectors by name and returns specific fields like connector id, access type, audience, etc. It clearly distinguishes from sibling tools like openfinance_list_connections which lists existing connections.

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?

Explicitly says 'Call this BEFORE connecting' and provides guidance on preferring Open Finance connectors for automation. Also explains plan behavior (PF vs PJ) and caveats for non-Open-Finance connectors.

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

A4.2/5.0
Disambiguation4/5

Most tools have distinct purposes, especially with the openfinance_ prefix grouping banking operations. However, pairs like openfinance_list_accounts vs openfinance_get_accounts_detail and openfinance_get_credit_card_bill vs openfinance_list_credit_card_bills could cause minor confusion, though descriptions help.

Naming Consistency5/5

Tools consistently use snake_case with a clear verb_noun pattern. Open finance tools all start with openfinance_, and utility tools use simple verbs like authenticate, connect, report_bug. No mixing of conventions.

Tool Count3/5

At 24 tools, the count is on the higher side of the borderline range. The server combines platform management (6 tools) and banking operations (18 tools), which justifies the number, but it feels slightly heavy for a single server.

Completeness5/5

The tool surface covers all major banking operations (accounts, transactions, credit cards, investments, loans) and includes essential maintenance tools (sync, status, disconnect, search connectors). Platform management is also comprehensive with authentication, marketplace operations, and diagnostics.