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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 declare readOnlyHint, idempotentHint, and non-destructive. The description adds significant behavioral context: caveat for non-Open-Finance connectors, plan-based visibility of banks, and the fact that the tool never dumps the entire 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.

Conciseness4/5

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

The description is dense with information but well-structured and front-loaded. It includes example, caveat, plan behavior, and usage guidance. Every sentence adds value, though slightly verbose; still highly efficient.

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?

Despite no output schema, the description details the return structure (connector id, access type, audience, linked connections, accounts, connect_url) and special behaviors (caveat warning, plan honors). It is fully complete for the tool's 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 description coverage is 0%, so the description must compensate. It fully explains both parameters: keywords[] is required and returns a hint if omitted, with example usage; include_accounts triggers account details in the response. This adds complete semantic meaning.

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's purpose: searches bank connectors by name and returns connector details, a connect URL, and linked connections. It gives specific verb and resource, includes example keywords, and distinguishes from siblings by instructing to call this before connecting.

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?

The description explicitly states when to use this tool: 'Call this BEFORE connecting to hand the user a one-click link to the right bank.' It also explains the behavior of the required keywords parameter and the include_accounts option. However, it does not explicitly exclude alternative tools or provide when-not-to-use scenarios, but the context is clear.

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

A4.1/5.0
Disambiguation4/5

Tools are largely distinct: openfinance_* tools cover specific resources (accounts, transactions, bills, loans, investments) with clear boundaries. Some overlap exists between list_transactions and list_transactions_by_item, and between status/sync tools (get_item_status, force_sync, provider_status), but descriptions are detailed enough to guide selection.

Naming Consistency4/5

The openfinance_* prefix provides strong consistency for the bulk of tools, with clear verb_noun patterns (list, get, update, force_sync). The platform tools (authenticate, connect, marketplace, report_bug, etc.) break the pattern but are few and their names are intuitive. Overall, minor mixing of conventions but readable.

Tool Count4/5

25 tools is on the higher side but appropriate for a comprehensive Open Finance and platform management server. The count includes both data access (accounts, transactions, bills, loans, investments) and platform utilities (authentication, connection state, marketplace). No redundant tools; each serves a clear purpose.

Completeness4/5

The surface covers the core read operations for connected banks (accounts, transactions, bills, loans, investments), connection management (sync, status, disconnect), and category correction. Minor gaps include no get-transaction-by-id and no update for account metadata, but these are not critical for the typical use case of a banking data aggregator.

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