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diglabo 漢字プリント

全範囲の学習セット案を作る

create_kanji_study_set_from_manuscript

元ページ・番号・下線ごとの全対象を1つの案にまとめ、短い確認リンクを返します。最大10枚・200対象。家族の教材やセットは保存しません。利用者がサイトで確認・訂正してから印刷・保存します。

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "create_kanji_study_set_from_manuscript"
  }
}

Input Schema

NameRequiredDescriptionDefault
draftNo学習セット原稿。schemaVersion:1、grade、title、pages。各ページはid、label、expectedCount、items。itemsはnumber、part、word、reading、meaning、sentence、sentenceSource(original|generated|edited)、元の短い設問文originalSentence、任意task。

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

Beyond the annotations (write, non-idempotent, non-destructive, closed-world), the description discloses concrete limits (max 10 sheets / 200 targets), the important side effect that family materials and sets are NOT saved, and the return value (a short confirmation link) leading to an on-site confirm/edit step. It does not say what happens when the limits are exceeded or what an error looks like, which keeps it from a 5.

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?

Four short sentences, front-loaded with the action and scope, followed by limits, the non-persistence caveat, and the confirmation workflow. Every sentence adds information; nothing is padded.

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

Completeness4/5

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

There is no output schema, and the description compensates by stating the return value (confirmation link) and the downstream human step (confirm/correct, then print/save). Combined with the stated limits and non-persistence, an agent has enough to decide and call correctly; only error/limit-exceeded behavior is missing.

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% and the single `draft` parameter is documented in detail (schemaVersion, grade, title, pages, item fields), so the schema carries the burden. The description adds only the aggregation semantics (all targets per page/number/underline go into one draft), which is useful but marginal.

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

Purpose4/5

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

The description states a specific action and resource: it aggregates every target (per source page, number, underline) into a single 学習セット案 and returns a short confirmation link. This clearly separates it from the worksheet-creating siblings by emphasizing the draft/提案 nature and the 'whole scope in one' aggregation, though no sibling is named explicitly.

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: use this when you want all targets from the manuscript collected into one draft rather than individual worksheets, and the note that the user confirms/corrects on the site implies a preview-then-print workflow. However, there is no explicit when-to-use vs. when-not statement and no pointer to create_kanji_worksheet_from_manuscript or get_kanji_study_set_rules as alternatives.

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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