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oyemecarnal

monarch-mcp-ultimate

by oyemecarnal

get_transactions

Retrieve transactions filtered by natural-language dates, accounts, categories, or tags. Paginate results and choose compact or verbose output.

Instructions

Get transactions. Supports natural language dates (today, last month, 30 days ago, etc.). Returns compact format by default.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results (default 100)
offsetNoPagination offset (default 0)
tag_idsNoComma-separated tag IDs
verboseNoReturn full transaction payload (default false)
end_dateNoEnd date — natural language or YYYY-MM-DD
account_idNoFilter by account ID
start_dateNoStart date — natural language or YYYY-MM-DD
category_idNoFilter by category ID
Behavior3/5

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

With no annotations, the description carries the burden of behavioral disclosure. It adds useful context: natural language date parsing and compact default format. However, it omits expected behaviors like pagination, sorting, default date window, and that the tool is read-only.

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 two concise sentences with front-loaded purpose. Every phrase contributes meaningful behavior—no fluff or redundancy.

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 an 8-parameter tool with no output schema, this description is somewhat thin. It lacks guidance on default date ranges, sort order, or how the response is structured. The presence of a search_transactions sibling further underscores the need for more contextual differentiation, but the core listing behavior is conveyed.

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%, so the baseline is 3. The description repeats what the schema already states (natural language dates, verbose/compact format) without adding new parameter-level meaning. It does not clarify defaults or interactions beyond schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Get transactions' with a specific verb and resource, and adds distinctive capabilities (natural language dates, compact format by default). However, it does not differentiate from the sibling search_transactions, so it lacks full sibling distinction.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool instead of search_transactions or other transaction-related tools. It does not mention alternatives, exclusions, or recommended contexts for use.

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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