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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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  11. First observed

TDQS

A4.4/5.0
Behavior4/5

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

The description adds significant context beyond the annotations (readOnlyHint, idempotentHint, destructiveHint). It explains that the tool is read-only, idempotent, and non-destructive. It also details the caveat warning for credential connectors, plan filtering, and the fact that keywords are required. 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 reasonably concise for the amount of information it conveys. It is front-loaded with core functionality and then adds caveats and plan details. Every sentence serves a purpose; no redundant phrasing.

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?

Given the complexity of the tool (plan logic, caveat warnings, connector search) and the absence of an output schema, the description thoroughly explains the return values and behavior. It covers what the tool returns, when to use it, and special cases like non-Open-Finance connectors and plan restrictions.

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?

With 0% schema description coverage, the description fully explains both parameters: 'keywords' is required, expects an array of strings with examples, and 'include_accounts' controls whether accounts are returned. This adds essential semantic meaning beyond the raw schema.

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 explicitly states the tool searches bank connectors by name, and details the returned fields (connector id, access type, audience, linked connections, connect_url). It clearly distinguishes from sibling tools like 'connect' or 'list_accounts' by specifying its use case and scope.

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 provides clear guidance: call before connecting, keywords are required (otherwise a hint is returned), and plan behavior is explained. It also mentions the caveat warning for non-Open-Finance connectors. However, it does not explicitly state when NOT to use the tool, though it is implied.

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

A3.7/5.0
Disambiguation4/5

Most openfinance_* tools target clearly distinct resources (accounts, transactions, bills, loans, investments, connections, categories). Minor overlap exists—list_accounts returns balances and list_transactions_by_item consolidates what list_transactions provides—but the detailed descriptions distinguish them adequately.

Naming Consistency4/5

The openfinance_* tools follow a consistent verb_noun pattern (get_*, list_*, update_*, force_sync, search_*) with one slight deviation: openfinance_provider_status omits a verb. The non-openfinance platform tools (authenticate, connect, marketplace, report_bug, etc.) break the prefix pattern, creating two naming conventions within the same server.

Tool Count3/5

25 tools sits at the upper boundary of acceptable for a comprehensive Open Finance banking adapter, covering accounts, transactions, credit cards, loans, investments, and connection management. However, including meta-platform tools like marketplace and toolkit_info inflates the count and makes the set feel heavier than a pure banking tool surface.

Completeness4/5

The tool surface covers the core Open Finance lifecycle well: list/get accounts, balances, transactions, credit card bills, loans, investments, connection management, category correction, and provider status. Gaps include no direct new-bank connection tool (only URLs) and no investment detail endpoint beyond transactions, but agents can work around these.