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akutishevsky

LunchMoney MCP Server

get_all_categories

Read-only

Retrieve all categories from your account, sorted alphabetically. Choose between a flat list or nested structure with subcategories under groups.

Instructions

Get a list of all categories associated with the user's account. Returns categories in alphabetical order.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatNoIf `flattened`, returns a singular array of categories. If `nested`, returns top-level categories (either category groups or categories not part of a category group) in an array, with subcategories nested within the category group under the property children. Defaults to flattened.
is_groupNoIf true, returns only category groups. If false, returns only categories that are not category groups.
Behavior4/5

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

Annotations already declare readOnlyHint=true, so the description adds value by stating alphabetical ordering. However, it does not mention potential pagination or limits, which would be beneficial for large datasets.

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 concise sentences with no wasted words. The key information (list, user account, alphabetical order) is front-loaded and efficiently communicated.

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?

Given the simplicity of the tool (no output schema, two optional params), the description covers the core behavior adequately. It could mention that results are paginated or limited, but for most use cases it is sufficient.

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 descriptions for both parameters. The description adds no additional parameter semantics beyond what the schema provides, so baseline score 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 clearly states the action ('Get a list of all categories') and the resource ('categories associated with the user's account'), with additional detail about alphabetical ordering. This distinguishes it from siblings like 'get_single_category' (which retrieves one) and mutation tools.

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 implies usage for retrieving all categories but does not explicitly state when to use or not use this tool versus alternatives. No guidance on filters or when to prefer 'get_single_category' is provided.

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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