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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

A4.8/5.0
Behavior5/5

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

Annotations indicate readOnlyHint and idempotentHint, so the tool is non-destructive. The description adds valuable context: caveat warnings for non-Open-Finance connectors, plan-specific filtering, and that it returns a connect_url. 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 fairly long but well-structured, front-loading the main purpose. Every sentence adds value, though some details could be slightly more compact. Overall, it's efficient for the information provided.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description covers return fields (id, access, audience, linked connections, accounts, connect_url, caveat) and plan behavior. It doesn't mention error handling or rate limits but is sufficiently complete for a search tool with read-only semantics.

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 0% description coverage, but the description explains both parameters: keywords as required array with examples, and include_accounts as boolean to include accounts. This fully compensates for missing schema descriptions, adding meaning beyond the bare types.

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 searches bank connectors by name and lists the returned fields (id, access, audience, etc.). It distinguishes from siblings by specifying to call before connecting to get a one-click link. The verb 'searches' and resource 'bank connectors' are specific and unambiguous.

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 says to call BEFORE connecting, implying when to use. It discusses plan behavior (PF vs PJ) and notes that without keywords it returns a hint rather than dumping the catalog, providing clear when-not guidance. It also hints at preferring Open Finance connectors over credential ones.

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

A3.9/5.0
Disambiguation3/5

Most openfinance_* tools target distinct resources and actions, but several overlap in purpose: list_transactions vs list_transactions_by_item, get_credit_card_bill vs list_credit_card_bills, and multiple connection/status tools expose reconnect URLs. The long descriptions help, but the boundaries are not always immediately obvious.

Naming Consistency4/5

The openfinance_* tools follow a consistent list_/get_ verb_noun pattern and share a clear prefix. The smaller platform cluster is less consistent — marketplace, connect, authenticate, show_version, toolkit_info — mixing nouns, bare verbs, and snake_case, but it is a minor deviation overall.

Tool Count3/5

At 25 tools, this sits at the heavy end of acceptable. The Open Finance surface is broad enough to justify many of them, but there is redundancy (e.g. list_transactions_by_item largely wraps list_transactions plus account resolution) and a separate platform-management cluster that makes the set feel sprawling.

Completeness4/5

The Open Finance domain is well covered: connection lifecycle, accounts, balances, transactions, credit-card bills, loans, investments, categories, and provider status are all present, and data flows connect properly between tools. Minor gaps exist, such as no single-transaction fetch or dedicated prompt-management tools, but the marketplace tool fills those roles.