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laughnan

arcade-ynab-mcp

by laughnan

ReviewUnapproved

Ynab_ReviewUnapproved
Read-onlyIdempotent

Review unapproved YNAB transactions with suggested categories from recent payee history, so you can approve or recategorize them.

Instructions

List transactions waiting for approval, each with a suggested category based on how the same payee was categorized recently. Use UpdateTransactions to approve or recategorize them after the user confirms.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of results to return (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.
since_dateNoOnly include unapproved transactions on or after this date (YYYY-MM-DD). Defaults to one year ago, YNAB's default.
history_daysNoHow many days of approved transactions to learn payee categories from (7-365).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.0

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive, so safety is covered. The description adds genuinely non-obvious behavior beyond them: each result carries a *computed* suggested category learned from recent approved payee history, and it flags that a user confirmation step precedes any write.

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 sentences, front-loaded with the core listing behavior, then the follow-up workflow. No filler and nothing redundant with the schema or annotations.

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?

An output schema exists, so return values need not be described, and annotations cover the safety profile. What remains — the derived suggestion and the next action — is stated, making the definition complete 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 the schema fully documents limit, plan_id, since_date and history_days. The description alludes to the history mechanism ('how the same payee was categorized recently'), which lightly maps to history_days, but adds no format or range detail. Baseline 3.

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?

Specific verb (list) plus resource (transactions waiting for approval) plus a distinctive behavior (suggested category derived from recent payee history). This clearly separates it from the generic sibling Ynab_ListTransactions and from Ynab_GetTransaction.

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?

Explicitly routes the follow-up action to UpdateTransactions and conditions it on user confirmation, so the agent knows this tool is read-only reconnaissance. It does not explicitly state when to prefer this over ListTransactions, but the 'waiting for approval' scoping makes it inferable.

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