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Glama

Inferventis MCP Server

bank_accounts

Retrieves bank account details and recent transaction history via a connected bank API integration. Returns a list of transactions for the specified account, or for all linked accounts when no account ID is provided. Use bank_accounts when an agent needs to inspect account balances, review recent spending, categorise transactions, or reconcile records against a specific bank account. Prefer open_banking_transactions when the integration uses a PSD2 Open Banking provider (TrueLayer) covering 300+ UK and European banks — open_banking_transactions returns richer transaction metadata including merchant names, categories, and running balances. Prefer stripe_payments when the source of payments is a Stripe merchant account rather than a retail bank account. This tool requires a valid bank API credential to be configured on the server.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of transactions to return. Defaults to 20. Maximum 100.
account_idNoIdentifier of the specific bank account to query. When omitted, transactions across all linked accounts are returned.

TDQS

A4.3/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses the credential requirement, the read-only nature (retrieves/returns), and the default vs. specific account behavior. It lacks rate limits or error handling details, but the key behavioral aspects are covered.

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 efficiently structured in three sentences, covering purpose, behavior, and usage guidance. The alternatives guidance adds length but is valuable, and every sentence earns its place.

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 the tool's simplicity (two optional params, no output schema), the description covers the essential information: what it does, when to use it, sibling alternatives, and a credential prerequisite. It lacks exact return field details but is sufficient for an agent to select and invoke the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema already describes both parameters comprehensively (limit default/max, account_id behavior), so the description adds no new parameter-specific information beyond restating what the schema says. Since schema coverage is 100%, the baseline of 3 is appropriate.

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 it retrieves bank account details and recent transaction history via a bank API, using a specific verb and resource. It also distinguishes itself from siblings like open_banking_transactions and stripe_payments, making the purpose 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?

The description explicitly states when to use bank_accounts (inspect balances, review spending, categorize transactions, reconcile records) and when to prefer alternatives (open_banking_transactions for PSD2 Open Banking, stripe_payments for Stripe merchant accounts). This provides clear decision guidance with specific scenarios.

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
Disambiguation2/5

Multiple tools have overlapping purposes, particularly the five fiat FX tools (currency_convert, currency_convert_lite, currency_convert_open, currency_fx_lite, currency_rates) and the three crypto tools (crypto_fx_rates, crypto_price, crypto_price_lite). Although descriptions attempt to differentiate them by source or detail level, the boundaries are subtle enough that an agent could easily misselect.

Naming Consistency3/5

Tool names use a mix of noun_noun, noun_verb, and adjective_noun patterns. Some include a 'lite' suffix consistently, but others like 'finnhub_stock_quote' and 'stripe_payment_records' have vendor prefixes, while bank tools lack them. Overall, the naming is readable but lacks a single consistent pattern.

Tool Count3/5

At 20 tools, the server covers a broad scope (finance, news, web, timezone) but includes redundancy (e.g., five FX conversion tools, two financial calculators). The count is not excessive for a general utility server, but it feels slightly bloated due to multiple near-identical variants.

Completeness3/5

The tool set covers many common financial and informational needs, but notable gaps exist: no historical stock data, no support for non-Stripe payment processors, and no ability to initiate payments (read-only). The news sources are limited to BBC and Guardian. Some areas are over-covered while others are missing, resulting in moderate completeness.

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