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knorq-ai

moneyforward-connector

by knorq-ai

mf_create_quote

Creates an invoice-system-compliant quote in MoneyForward using partner details, quote and expiry dates, and line items with tax categories.

Instructions

インボイス制度対応の見積書を作成します

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
memoNoメモ
itemsYes明細行
titleNo見積書タイトル
partner_idYes取引先ID(必須)
quote_dateYes見積日(YYYY-MM-DD)
expired_dateYes有効期限(YYYY-MM-DD)
department_idNo取引先の部署ID。指定した場合もこの partner_id の部署であることを検証する(他の取引先の部署IDは拒否)。省略時は部署が 1 件ならそれを使い、複数ある場合はエラーで一覧を返す

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

C2.5/5.0
Behavior2/5

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

With no annotations provided, the description carries the full behavioral burden and delivers almost none. It implies a mutating create, but says nothing about required permissions, auth flows (the sibling set has explicit auth tools), side effects, error behavior, or what the response contains. Only the 'invoice-system compliant' hint touches on behavior.

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?

A single front-loaded sentence with zero filler, which is structurally clean. But for a 7-parameter nested create tool it is under-specified rather than genuinely concise, so it earns only a middling score.

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?

For a complex create operation with 7 parameters, nested line items, no annotations and no output schema, one sentence is far too thin. The rich schema (especially department_id and the tax-type enum) is good, but the description omits prerequisites, required-field emphasis, and any notion of success/failure behavior an agent would need.

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 schema already documents all seven parameters, including the detailed department_id validation logic and the excise enum. The description adds no parameter-level meaning beyond that, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a specific verb (作成/create) and resource (見積書/quote), and adds a qualifier — invoice-system (インボイス制度) compliant — that goes slightly beyond the tool name. However, it offers no scope details, no fields, and no differentiation from the many sibling quote tools (mf_update_quote, mf_get_quote, mf_list_quotes, mf_convert_quote_to_billing); the verb+resource is largely recoverable from the name alone.

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?

There is no when-to-use guidance, no prerequisites (e.g. that partner_id must reference an existing partner obtainable via mf_list_partners, or that items are mandatory), and no mention of alternatives such as mf_update_quote for editing an existing quote. The agent gets no routing help.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.