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knishioka

freee Accounting MCP Server

by knishioka

freee_get_general_ledger

Retrieve detailed journal entries per account item for analysis and consistency checks. Filter by account or use compact mode for summary totals.

Instructions

Get general ledger (総勘定元帳) - Retrieves detailed journal entries per account item. Use account_item_id to filter by specific account (recommended to reduce response size). Ideal for "what is recorded under account X" analysis, account item context investigation, and journal consistency checks. Use compact mode for quick overviews with totals only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
companyIdNoCompany ID (optional, uses FREEE_DEFAULT_COMPANY_ID if not provided)
fiscalYearYesFiscal year
startMonthYesStart month (1-12)
endMonthYesEnd month (1-12)
accountItemIdNoAccount item ID to filter by specific account (勘定科目ID). Recommended to reduce response size.
compactNoWhen true, returns summary statistics (count and totals per account) without individual entries. Useful for quick overviews.
Behavior4/5

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

No annotations are provided, so the description must fully disclose behavior. It explains retrieval of detailed entries, filtering, and compact mode for summaries. It does not mention read-only nature or rate limits, but the behavior is clear enough.

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 concise (two sentences) and front-loads the core purpose. Every sentence adds value, but could be slightly more structured.

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

Completeness3/5

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

With no output schema, the description does not explain the return format or pagination. It covers main usage and filtering but lacks details on what data is returned, which would help an agent handle the response.

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

Parameters4/5

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

Schema coverage is 100%, and the description adds value by explaining recommended usage of account_item_id and compact mode. It also clarifies companyId defaults. This goes beyond mere schema restatement.

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 retrieves detailed journal entries per account item (general ledger), with specific use cases like account analysis and consistency checks. It distinguishes itself among sibling tools by focusing on journal entries per account.

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 gives clear usage guidance: recommend using account_item_id to reduce response size and compact mode for overviews. It provides context for ideal use cases but does not explicitly mention when not to use this tool.

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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