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ynab_compare_transactions

Read-onlyIdempotent

Compare bank CSV exports with YNAB transactions to identify missing or mismatched entries.

Instructions

Compare bank CSV transactions with YNAB transactions to find missing or mismatched entries.

Args:

  • budget_id (string, optional): Budget UUID. Omit to use the default budget.

  • account_id (string, required): Account UUID to compare against.

  • csv_file_path or csv_data (string, required): Bank export file path or inline CSV text.

  • statement_start_date (string, optional): Filter comparison window start date (YYYY-MM-DD).

  • statement_date (string, optional): Filter comparison window end date (YYYY-MM-DD).

Returns: comparison report with matched, unmatched_bank, unmatched_ynab transactions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
budget_idNo
account_idYes
csv_file_pathNo
csv_dataNo
amount_toleranceNo
date_tolerance_daysNo
enable_chronology_bonusNo
statement_start_dateNo
statement_dateNo
auto_detect_formatNo
debugNo
csv_formatNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
summaryYes
matchesYes
missing_in_ynabYes
missing_in_bankYes
Behavior3/5

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

Annotations already indicate readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds that it returns a comparison report, but does not disclose matching logic (e.g., tolerance parameters) or any other behavioral traits beyond what annotations provide.

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

Conciseness3/5

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

The description mixes prose and an incomplete parameter list. It is somewhat verbose but includes a returns summary. Could be more structured, e.g., by separating purpose from details.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 12 parameters with a nested csv_format object, the description fails to explain most parameters and provides only a high-level return description. Though output schema exists, the description does not leverage it effectively to convey completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description only explains 5 of 12 parameters (budget_id, account_id, csv_file_path/csv_data, statement dates), omitting critical ones like amount_tolerance, date_tolerance_days, enable_chronology_bonus, csv_format, etc. Since schema description coverage is 0%, the description must compensate but does not.

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 tool compares bank CSV transactions with YNAB transactions to find missing or mismatched entries. The verb 'compare' and specific resources distinguish it from siblings like ynab_list_transactions and ynab_reconcile_account.

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?

No explicit guidance on when to use this tool over alternatives like ynab_reconcile_account. The description implies a use case but does not state when-not-to-use or provide context for selection.

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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