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n26-mcp

Recurring charges

recurring_charges
Read-onlyIdempotent

Detect subscriptions and recurring charges from account transactions to see cadence, typical amount, next expected date, monthly equivalent, and lapsed status.

Instructions

Read-only detection of subscriptions and other recurring charges.

Same detector as eb.py recurring: cadence (weekly, lunar, monthly, quarterly, yearly), typical amount, next expected date and monthly equivalent. A charge that is overdue is marked lapsed?. Pagination is handled inside the tool. There is no payment action. Show the result only to the account owner.

Input Schema

NameRequiredDescriptionDefault
todayNoJudge lapsed charges as of this YYYY-MM-DD. Defaults to the real date.
accountNoAccount uid from list_accounts. Omit for every consented account.
date_toNoEnd date, inclusive, YYYY-MM-DD. Omit to leave the end open.
date_fromYesHow far back to look, inclusive, YYYY-MM-DD. Six to twelve months works well.
min_countNoMinimum charges before a series counts. Quarterly and yearly series need only 2.
include_creditsNoAlso detect recurring incoming payments, such as salary.

Output Schema

NameRequiredDescriptionDefault
as_ofYes
itemsYes
noticeNo
currencyNo
owner_onlyYes
monthly_total_outYesSum of monthly equivalents for active outgoing charges.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and openWorld, so the safety profile is covered. The description adds genuinely new behavior: pagination is handled internally, overdue series are marked 'lapsed?', and results are restricted to the account owner — none of which the annotations convey.

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 core purpose is front-loaded in the first sentence, followed by output shape and constraints. Slightly terse shorthand ('lapsed?') costs a little clarity, but there is no wasted text.

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?

With an output schema present, return values needn't be re-explained; the description covers what structured fields don't — internal pagination, the no-payment guarantee, and the owner-only disclosure rule. For a read-only detector with full schema coverage, an agent has everything needed to call and present it 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?

Schema description coverage is 100%, and every parameter (today, account, date_to, date_from, min_count, include_credits) is already documented in the schema, including the 'six to twelve months works well' hint and the quarterly/yearly min-count exception. The description adds no parameter-level meaning beyond that, so the baseline 3 applies.

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?

States a specific verb and resource — 'Read-only detection of subscriptions and other recurring charges' — which is clearly distinct from the sibling list/balance/transaction tools. It also names the underlying detector ('Same detector as `eb.py recurring`') and enumerates the derived outputs, so an agent knows exactly what this produces.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

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

Usage is implied rather than stated: the tool detects recurring series, so an agent infers raw transaction listing belongs to get_transactions, but no sibling is named and no explicit 'use this instead of X when Y' guidance is given. It does include one useful exclusion ('There is no payment action') and a handling rule ('Show the result only to the account owner'), which lifts it above pure absence of guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.