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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

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already declare readOnly and idempotent, so the bar is lower, but the description adds substantial context: return fields (connector id, access, audience, accounts), the caveat about non-auto-updating connectors, plan-based visibility (PF/PJ), and the behavior of returning a hint when keywords are omitted. These go well beyond 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 long but information-dense, starting with the main action and then flowing through return details, caveats, plan rules, and usage timing. It earns its length, though a slightly tighter structure could improve scannability.

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?

Since there is no output schema, the description must fully explain return values and behavior. It covers all key aspects: match output (id, access, audience, connections, accounts), caveat warnings, plan coverage, and the required keywords behavior. This is complete for a search 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?

Schema has zero description coverage, but the description fully compensates: it explains keywords with examples ('nubank','btg'), describes include_accounts=true behavior, and explicitly states keywords is required (with a hint fallback). Every parameter gets meaningful semantic clarity.

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 opens with a specific verb+resource: 'Searches the available bank connectors by name.' It clearly differentiates itself from sibling tools by emphasizing pre-connection search and a ready connect_url, unlike list_connections or get_item_status.

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?

It explicitly states 'Call this BEFORE connecting to hand the user a one-click link to the right bank,' giving clear when-to-use guidance. It also implies when to prefer Open Finance connectors for automation, though it does not name alternative tools explicitly, so it misses an explicit when-not-to-use.

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

A4.3/5.0
Disambiguation4/5

The openfinance_* tools are mostly distinct list/get/update/sync operations, and the non-openfinance tools are clearly separate platform utilities. A few pairs could be confused, such as openfinance_list_accounts vs openfinance_get_accounts_detail, or openfinance_get_item_status vs openfinance_list_connections, but the descriptions generally make the intended use clear.

Naming Consistency4/5

The domain tools follow a consistent openfinance_verb_noun pattern, making the bulk of the API predictable. The deviation comes from the six non-prefixed platform tools, and one or two names like openfinance_provider_status are noun-led rather than verb-led, but overall the convention is coherent.

Tool Count3/5

25 tools is at the heavy end of the range, and the server would feel tighter if some get/list pairs were consolidated. However, the breadth is somewhat justified by the number of Open Finance resource types covered: accounts, transactions, bills, investments, loans, connections, categories, and sync/status operations plus platform utilities.

Completeness5/5

The Open Finance surface is thorough: connection lifecycle, account data, balances, transactions, credit card bills, investments, loans, categories, sync, and provider health are all covered. There are no significant dead ends, and the additional platform tools handle authentication, marketplace discovery, and system information.