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laughnan

arcade-ynab-mcp

by laughnan

SummarizeSpending

Ynab_SummarizeSpending
Read-onlyIdempotent

Summarize spending by category, category group, or payee over a date range, excluding transfers and income.

Instructions

Summarize spending over a date range, grouped by category, category group or payee.

Counts budget-account transactions only. Transfers between accounts and income (inflows to Ready to Assign) are excluded; refunds reduce spending in their category. Spending is reported as a positive number.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of groups to return, biggest first (1-500).
plan_idNoThe YNAB plan (budget) ID. Defaults to 'last-used', the plan the user opened most recently. Use ListPlans to find other plan IDs.
group_byNoGroup spending by category, category group or payee.
since_dateYesStart of the period (YYYY-MM-DD), inclusive.
until_dateNoEnd of the period (YYYY-MM-DD), inclusive. Defaults to today.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.0

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive behavior, so the safety bar is low. The description still adds genuine business semantics beyond the annotations: it counts budget-account transactions only, excludes transfers and income inflows, applies refunds as reductions, and normalizes spending to a positive number.

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?

Three short sentences, front-loaded with the core action, followed by the inclusion/exclusion rules and the sign convention. Every sentence carries distinct information with no waste.

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?

With an output schema present, the description need not cover return values. It fully covers scope, filtering rules, and grouping semantics for a read-only summary tool, leaving no material gap for correct invocation.

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 description coverage is 100%, so all five parameters including the group_by enum are already documented. The description reinforces the grouping dimension but adds no format or default detail beyond what the schema provides, so the baseline 3 applies.

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?

States a specific verb (summarize) and resource (spending) with its scope (date range) and grouping options (category, category group, payee). An agent can distinguish it from analytical siblings like ForecastCashFlow or FindOverspending without opening a schema.

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 when it applies by defining what counts as spending, but it never explicitly names alternatives or states when to choose this over ForecastCashFlow or FindOverspending. Usage is inferable rather than stated.

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