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Caribooks (QuickBooks Online)

get transaction detail by account

get_transaction_detail_by_account
Read-only

Generate the QuickBooks transaction detail by account report. Returns { columns, column_types, rows }: each row has a type (section | data | total), a depth, and values aligned to columns (Money cells as numbers, first cell is the label on summary reports); id is the label cell's QuickBooks record id (e.g. the account); on detail reports ids aligns to values instead. All-zero rows are omitted and counted in hidden_zero_rows. filters lists the filters QuickBooks confirms it applied (a parameter it ignored is absent), and no_data: true means the period has nothing to report.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsNoQuickBooks report query parameters: start_date, end_date (YYYY-MM-DD) or date_macro (Today, Yesterday, This Week, Last Week, This Month, Last Month, This Month-to-date, This Fiscal Quarter, Last Fiscal Quarter, This Fiscal Year, Last Fiscal Year, This Fiscal Year-to-date, Last Fiscal Year-to-date, ...); accounting_method (Cash|Accrual); the filters customer, vendor, item, class, department (QuickBooks Ids, comma-separated for several); account, account_type, transaction_type; columns (comma-separated, e.g. tx_date,txn_type,doc_num,name,memo,account_name,other_account,due_date,pmt_mthd,is_cleared,dept_name), sort_by (one of those columns), sort_order (ascend|descend).
companyNoWhich connected QuickBooks company to use (name, realm id, or connection id). Optional when only one company is connected.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior5/5

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

The description goes well beyond the readOnlyHint/destructiveHint annotations by explaining output row types, id alignment differences between summary and detail reports, Money-cell representation, omission of all-zero rows via hidden_zero_rows, confirmed filters behavior, and the no_data flag. This is rich behavioral context that an agent cannot infer from the schema or annotations.

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 purpose is front-loaded in the first clause, and every subsequent clause adds necessary behavioral detail about the return format. Despite being dense, there is no filler; each part of the description earns its place.

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 no output schema, the description fully covers the return contract: columns, rows, types, ids, hidden_zero_rows, filters, and no_data. Combined with the 100%-covered input schema and safe read annotations, an agent has everything needed to select and invoke this tool correctly.

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 input schema already documents all parameters. The description adds no per-parameter guidance; its mention of filters is about output behavior rather than how to supply parameter values. Baseline 3 is appropriate.

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 opens with a specific verb and resource: 'Generate the QuickBooks transaction detail by account report.' It also differentiates itself from sibling transaction-list tools by detailing the report-style return shape (section/data/total rows, depth, id label cells), making the tool's identity unmistakable.

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?

Usage is implied by the purpose statement: an agent can infer this is the tool for a QuickBooks transaction-detail-by-account report. However, there is no explicit 'use this when' guidance, no exclusions, and no mention of alternatives such as get_transaction_list, get_general_ledger, or the other transaction-list siblings.

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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