Skip to main content
Glama
leafeye

lunchmoney-mcp-v2

by leafeye

manage_category

Create, update, or delete Lunch Money categories to structure transactions and maintain accurate budgets and reports.

Instructions

Create, update, or delete a Lunch Money category.

action="create": Provide name (required). Optionally set description, is_income, exclude_from_budget, exclude_from_totals, is_group, group_id. action="update": Provide id and any fields to change (name, description, is_income, exclude_from_budget, exclude_from_totals, archived, group_id). action="delete": Provide id. Use force=true to delete even if the category has dependent transactions/rules.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoCategory ID (required for update/delete)
nameNoCategory name (required for create)
forceNoForce delete even with dependencies
actionYesThe operation to perform
archivedNoArchive/unarchive (update only)
group_idNoParent group ID
is_groupNoCreate as category group (create only)
is_incomeNoMark as income category
descriptionNoCategory description
exclude_from_budgetNoExclude from budget
exclude_from_totalsNoExclude from totals
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses that force=true is needed to delete with dependencies, and that update supports partial field changes. It does not mention irreversible effects or permissions, but the core behavioral traits 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with action-labeled bullets, no redundancy, and every sentence provides actionable information. It is appropriately sized for the tool's complexity.

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?

All input parameters are covered across actions, but the description omits return value details (e.g., what the response contains after create/update/delete). Since there is no output schema, this is a notable gap, though not critical for invoking the tool correctly.

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?

The description adds significant meaning beyond the schema by mapping each parameter to specific actions—e.g., name required for create, id for update/delete, force for delete. This clarifies conditional requirements the schema alone does not convey.

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 'Create, update, or delete a Lunch Money category' with specific action labels, making the tool's purpose unambiguous. It distinguishes from sibling tools like list_categories (read-only) by emphasizing CRUD operations.

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

Usage Guidelines4/5

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

It provides clear context per action (create/update/delete) with required fields and options. However, it does not explicitly contrast with sibling tools like manage_tag or list_categories, so the when-not-to-use guidance is implicit rather than explicit.

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/leafeye/lunchmoney-mcp-v2'

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