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BuchhaltungsButler MCP-Server

by dennismenken

Zahlung holen

bb_transactions_get
Read-onlyIdempotent

Retrieve one BuchhaltungsButler payment by its customer-specific transaction ID to get full details including account, currency, and counterparty bank data. Use after search returns the ID.

Instructions

Holt genau eine Zahlung aus BuchhaltungsButler über ihre mandantenbezogene Nummer. Zu nehmen, sobald die id_by_customer einer Zahlung vorliegt, etwa aus einem Ergebnis von bb_transactions_search. Dieser Einzelabruf liefert 13 Felder, darunter account, currency und die Bankdaten der Gegenseite; die Liste aus bb_transactions_search führt nur sechs davon. Er sucht nicht und blättert nicht: genau eine Zahlung je Aufruf.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
response_formatNo'concise' liefert nur die Felder, die einen Datensatz erkennbar machen und den nächsten Schritt erlauben. 'detailed' liefert den Datensatz so, wie die BuchhaltungsButler-API ihn ausgibt. Mit 'concise' beginnen und nur für die wenigen Datensätze auf 'detailed' wechseln, die wirklich geprüft werden müssen. Dieses Feld ist serverseitig und geht nicht an die API.concise
transaction_id_by_customerYesDie mandantenbezogene Nummer der Zahlung, zu finden über bb_transactions_search. Keine globale Kennung. In Suchergebnissen erscheint sie als String; hier ohne Anführungszeichen übergeben.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
messageNo
successYes
endpointNo
_contract_warningsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.5/5.0
Behavior4/5

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

The annotations already cover the safety profile (read-only, idempotent, open-world, non-destructive). The description adds meaningful behavioral context by contrasting the richer single-record output with the search list and by stating that it returns exactly one payment per call with no searching or pagination.

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 front-loaded and four sentences long, with each sentence serving a distinct purpose: what the tool does, when to use it, how its output differs from search, and its one-record scope. No sentence is wasted.

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 annotations, 100% schema coverage, and an existing output schema, the description is complete enough for correct invocation. It adds the key selection context an agent needs: use this after obtaining an id_by_customer, and expect richer fields than the search list.

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%, so both parameters are already fully documented in the schema. The description adds only a small amount of context about the customer-scoped ID and does not mention response_format, so 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 states a specific verb and resource: it fetches exactly one payment from BuchhaltungsButler by its client-scoped number. It explicitly distinguishes this single-record retrieval from bb_transactions_search, noting that the list yields only six fields while this call yields thirteen.

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?

It gives an explicit trigger: use this as soon as the id_by_customer is available, for example from a bb_transactions_search result. It also states a clear boundary—this tool does not search or paginate—which tells the agent when not to use it.

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