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create_transactions

Add multiple transactions to YNAB budgets in batches with duplicate detection, validation, and correlation metadata for efficient financial tracking.

Instructions

Create multiple transactions in a single batch (1-100 items) with duplicate detection, dry-run validation, and automatic response size management with correlation metadata.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
budget_idYes
transactionsYes
dry_runNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

The description adds valuable behavioral context beyond annotations: it specifies batch size limits (1-100 items), mentions duplicate detection, dry-run validation, and automatic response size management with correlation metadata. While annotations cover basic hints (not read-only, not destructive, etc.), the description provides practical implementation details that help the agent understand how the tool behaves.

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 a single, dense sentence that efficiently packs all key information: the core action, batch size constraint, and three major features. There's no wasted space or redundant phrasing, making it highly front-loaded and effective for quick comprehension.

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?

Given the tool's complexity (batch creation with multiple features), rich input schema with full parameter documentation, comprehensive annotations, and the presence of an output schema (which means return values don't need explanation), the description provides exactly what's needed: it focuses on behavioral characteristics and usage context that aren't captured in structured fields.

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?

With 0% schema description coverage, the description doesn't explain any of the 3 parameters (budget_id, transactions, dry_run) or their nested transaction object properties. The baseline is 3 since the schema itself provides comprehensive documentation of all parameters, their types, constraints, and required fields, but the description adds no parameter-specific semantic information.

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 specific action ('Create multiple transactions in a single batch') with precise scope (1-100 items) and distinguishes it from the sibling 'create_transaction' tool by emphasizing batch processing. It goes beyond just restating the name by detailing the batch nature and key features.

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?

The description provides clear context for when to use this tool (batch creation of 1-100 transactions with specific features like duplicate detection and dry-run). However, it doesn't explicitly mention when NOT to use it or name alternatives like 'create_transaction' for single transactions, which would have earned a perfect score.

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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