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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.

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

TDQS

A5/5.0
Behavior5/5

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

The description discloses important behaviors beyond annotations, such as the caveat for non-Open-Finance connectors requiring manual reconnection, plan behavior (PF plan hides PJ banks), and the behavior when keywords are missing (returns a hint). The annotations already indicate read-only, idempotent, non-destructive, and the description complements without contradiction.

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 well-structured, front-loading the core action and return values in the first sentence, then adding caveats and plan behavior in subsequent sentences. Every sentence adds value without redundancy or extraneous information.

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 absence of an output schema, the description comprehensively covers return values, edge cases (empty keywords, plan restrictions), and prerequisites. It provides complete guidance for the agent to correctly invoke the tool and interpret results.

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?

With 0% schema description coverage, the description fully compensates by explaining the 'keywords' parameter (array of strings, required despite schema, with examples) and 'include_accounts' (boolean to include accounts). It adds semantic meaning and usage details beyond the schema's type-only definitions.

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 action: 'Searches the available bank connectors by name' and specifies the return fields (connector id, access, audience, linked connections, connect_url). It distinguishes itself from siblings like 'connect' by indicating it should be called 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 Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly states when to use: 'Call this BEFORE connecting' and provides context for when not to use (keywords required, otherwise returns a hint). It implies no alternative search tool exists among siblings.

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 Open Finance tools have clear list/get pairs for each resource (accounts, transactions, loans, investments, bills), but the marketplace tool is a monolith combining search, describe, invoke, install, subscribe, and prompt library actions, causing ambiguity about which action to use. Additionally, openfinance_list_transactions and openfinance_list_transactions_by_item overlap in purpose but are distinguished by scope.

Naming Consistency3/5

The openfinance_* group follows a consistent verb_noun pattern (list, get, update, force_sync, etc.), but the platform tools (authenticate, connect, marketplace, show_version, report_bug, toolkit_info) use mixed bare verbs and nouns, creating two distinct conventions. Names like openfinance_list_transactions_by_item are longer but still consistent within the group.

Tool Count4/5

25 tools is at the heavy end, but the Open Finance domain alone justifies 17 tools covering distinct resources and operations. The platform tools add 8 more, though the marketplace tool bundles many sub-actions into one, inflating the effective count. The number is borderline but not excessive given the breadth of banking functionality.

Completeness5/5

The Open Finance surface is comprehensive with list/get for every major resource, plus support for sync, status, search, categories, and category updates. The platform tools cover authentication, connection status, marketplace operations, bug reporting, version, and toolkit state. No obvious gaps or dead ends in the workflow.

Resources