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luno

Luno MCP Server

Official
by luno

get_transaction

Read-onlyIdempotent

Retrieve detailed ledger information for one transaction, such as amount, running balance, description, and timestamp, on your Luno account.

Instructions

Return the full ledger entry for one transaction on the authenticated profile (amount, running balance, description, timestamp). Only finds transactions within the most recent 1000 rows of the account; for older entries, narrow the search with list_transactions first. Requires API credentials.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
account_idYesNumeric account ID, as a string (from get_balances).
transaction_idYesRow index of the transaction within the account, as a string. Obtain from list_transactions (row_index field).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
account_idYes
availableYes
available_deltaYes
balanceYes
balance_deltaYes
currencyYes
descriptionYes
detail_fieldsYes
detailsYes
kindYes
referenceYes
row_indexYes
timestampYes
Behavior4/5

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

Annotations already provide readOnlyHint=true, destructiveHint=false, idempotentHint=true, openWorldHint=true. The description adds valuable context: the row limit of 1000 and credential requirement. No contradictions.

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?

Two sentences, no filler. First sentence states purpose and return fields; second provides constraint and prerequisite. Front-loaded and efficient.

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 simple lookup nature, full schema coverage, annotations, and presence of output schema, the description covers all needed context: return fields, limitations, prerequisites, and credentials.

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 coverage is 100% with basic descriptions. The description adds context on how to obtain the IDs: account_id from get_balances, transaction_id from list_transactions (row_index field). This enriches the schema.

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 returns the full ledger entry for one transaction on the authenticated profile, listing specific fields (amount, running balance, description, timestamp). It distinguishes from sibling tools like list_transactions (which lists) and get_balances (which returns balances).

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 when to use ('return the full ledger entry for one transaction'), provides a constraint ('only finds transactions within the most recent 1000 rows'), and directs to use list_transactions first for older entries. Also notes requirement for API credentials.

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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