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a1athrop

YNAB MCP Server

by a1athrop

create_transactions_bulk

Add multiple YNAB transactions simultaneously using JSON data to streamline budget updates and reduce manual entry time.

Instructions

Create multiple transactions at once from a JSON string.

The JSON should contain a "transactions" array where each item has: account_id (required), date (required), amount (required in milliunits), and optionally: payee_name, payee_id, category_id, memo, cleared, approved, flag_color, subtransactions (array of {amount, category_id, memo, payee_id, payee_name}).

Args: transactions_json: JSON string with a "transactions" array. budget_id: Budget ID (uses default if omitted).

Returns: Summary of created and duplicate transactions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
transactions_jsonYes
budget_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions returns a summary of created and duplicate transactions, which is helpful, but doesn't disclose critical behavioral traits like whether this is a write operation (implied by 'create'), authentication requirements, rate limits, error handling, or idempotency. The description adds some value but leaves significant gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

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

The description is appropriately sized and front-loaded with the core purpose. The JSON details are necessary but could be slightly more streamlined. Most sentences earn their place, though the parameter explanations are integrated rather than separate sections.

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 no annotations, 0% schema coverage, but an output schema exists, the description does well by detailing parameters and return summary. It covers the essential what and how, though it could improve on behavioral aspects like permissions or errors. The output schema reduces need for return value details.

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?

Schema description coverage is 0%, so the description must compensate fully. It provides detailed semantics for both parameters: 'transactions_json' is explained with a comprehensive JSON structure including required/optional fields and nested arrays, and 'budget_id' is noted as optional with a default. This adds substantial meaning beyond the bare schema.

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 the tool creates multiple transactions from a JSON string, specifying it's a bulk operation. It distinguishes from the sibling 'create_transaction' by emphasizing multiple transactions at once, though it doesn't explicitly name that alternative.

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 bulk creation of transactions, but doesn't explicitly state when to use this vs. the single 'create_transaction' tool or mention prerequisites like required permissions. It provides some context through the JSON structure but lacks explicit guidance on alternatives.

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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