Skip to main content
Glama
akutishevsky

LunchMoney MCP Server

create_transactions

Insert 1-500 transactions into LunchMoney, with duplicate detection and optional rule application.

Instructions

Insert one or more transactions (1-500 per call). Returns inserted transactions plus any skipped duplicates.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
transactionsYesArray of transactions to insert (1-500).
apply_rulesNoApply rules associated with the transaction's manual_account_id.
skip_duplicatesNoFlag transactions that match an existing transaction's date+payee+amount+account as duplicates and skip them. Note: external_id deduplication always runs regardless of this flag.
skip_balance_updateNoIf true, do not update the manual account's balance when inserting these transactions.
Behavior4/5

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

The description adds value beyond the annotations by stating the batch limit and return behavior (including duplicates). Although the annotation indicates non-idempotency (idempotentHint=false), the description doesn't contradict it. It could further detail side effects like partial failures, but overall it provides useful behavioral context.

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 a single, concise sentence that communicates the core functionality and key constraints without unnecessary words.

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

Completeness3/5

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

For a batch creation tool with multiple behavioral options and no output schema, the description covers the basic return and limit but omits error handling, partial success scenarios, and a more detailed explanation of duplicate detection (e.g., external_id deduplication). It is adequate but not fully complete.

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 coverage is 100% with detailed parameter descriptions, so the description adds minimal new semantic meaning beyond the bulk limit and deduplication note. Baseline score of 3 is appropriate as the description doesn't significantly enhance understanding of the parameters.

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 verb 'Insert', the resource 'transactions', and specifies the batch size range (1-500). It also mentions the return value includes inserted transactions and skipped duplicates, distinguishing it from the singular 'create_transaction' sibling.

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?

The description does not explicitly guide when to use this tool versus alternatives like 'create_transaction' for single inserts, nor does it provide context on when to set parameters like apply_rules or skip_balance_update. Usage is implied but not fully clarified.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/akutishevsky/lunchmoney-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server