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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.

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TDQS

A5/5.0
Behavior5/5

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

Annotations already declare readOnly, idempotent, and non-destructive, but the description adds significant behavioral context: the caveat warning about non-auto-updating connectors, plan-specific filtering, and the hint behavior when keywords are omitted. It also discloses that the tool never dumps the whole catalog. No contradictions 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is dense but every sentence earns its place: main purpose, return fields, caveat, plan behavior, and usage timing. It is front-loaded with the core function and keyword examples, then layers necessary details without 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?

With no output schema, the description covers return values (connector id, access, audience, linked connections, accounts, connect_url), edge cases (caveat warning, plan limitations), and usage prerequisites (keywords required, call before connecting). It is exceptionally complete for a tool of this complexity.

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?

The description fully explains both parameters: keywords[] with examples ('nubank','btg') and being required (despite schema not marking it required), and include_accounts=true to include accounts. Since schema coverage is 0%, this description compensates completely, adding meanings like the caveat and connect_url behavior tied to keywords.

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 uses a specific verb ('Searches') and resource ('bank connectors'), clearly stating it searches by name with keywords. It also distinguishes itself from sibling tools like openfinance_list_connections by focusing on available connectors and returning a connect_url, access, and audience. The plan behavior and caveat details further cement its unique purpose.

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 instructs to call 'BEFORE connecting' and explains that keywords[] is REQUIRED, with a hint returned otherwise. It also advises preferring Open Finance connectors for automation when a caveat exists, and clarifies plan-based visibility (PF hides PJ, PJ covers both). This provides clear context on when and how to use the tool.

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

A4/5.0
Disambiguation3/5

The openfinance_* family is largely well-differentiated by resource and action, but the monolithic `marketplace` tool bundles search, invoke, install, billing, and prompt-library actions into one name, creating ambiguity about where platform capabilities live. Additionally, `openfinance_list_transactions` and `openfinance_list_transactions_by_item` both return transaction data and could be misselected despite their different aggregation intent.

Naming Consistency3/5

The openfinance_* tools consistently follow a clear verb_noun pattern, which gives the majority of the surface a predictable shape. But the generic platform tools mix bare verbs (`authenticate`, `connect`), nouns (`marketplace`, `toolkit_info`), and verb_noun names (`report_bug`, `show_version`), so the server has two naming dialects rather than one uniform convention.

Tool Count3/5

At 25 tools, this sits right at the top of the heavy range, and the server genuinely spans two broad domains: MCP platform administration and Open Finance banking data. The count is defensible given the breadth, but it is not a lean or easily navigable surface for an agent.

Completeness4/5

The Open Finance side is quite complete, covering connections, accounts, transactions, credit card bills, loans, investments, categories, provider status, sync, and disconnection. The platform side covers authentication, connection status, marketplace operations, bug reporting, and versioning, though some marketplace sub-actions are packed into one tool and bank connection itself is only reachable through URLs returned by other tools.