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add_to_dictionary

Add English words, abbreviations, and file extensions with their katakana readings to a custom dictionary, enabling correct pronunciation during text-to-speech playback. Supports multiple entries separated by commas.

Instructions

カスタム辞書に新しい英単語とカタカナ読みのペアを登録します。HDMIやAPIなどの略語や、.pyのような拡張子も登録できます。複数登録する場合はカンマ区切りで指定できます。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
englishYes英単語、略語、または拡張子。複数の場合はカンマ区切り(例: hdmi,api,csv,.py,.csv または 1つ,2つ,3つ)
katakanaYesカタカナ読み。複数の場合はカンマ区切り(例: エイチディーエムアイ,エーピーアイ,シーエスブイ,ドットパイ,ドットシーエスブイ または ひとつ,ふたつ,みっつ)
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It only states that entries are registered but does not mention whether duplicates are allowed, if updates occur, or what side effects happen. Lacks detail on mutation behavior.

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 description is two sentences long, concise, and front-loaded with the core action. Every sentence provides unique value without redundant information.

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?

For a simple addition tool with two required parameters, the description is adequate but lacks completeness. It does not explain return values, error conditions, or whether the operation is idempotent. Given no output schema, more detail would be beneficial.

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%, providing detailed parameter explanations including examples for comma-separated values. The tool description adds only minor reinforcement about abbreviations and extensions, so it does not significantly augment the schema.

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 that the tool registers a pair of English word and katakana reading into a custom dictionary. It specifies what can be registered (words, abbreviations, extensions) and that multiple entries are allowed via comma separation. This distinguishes it from siblings like list_dictionary and remove_from_dictionary.

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 guidance is provided on when to use this tool versus alternatives such as list_dictionary or remove_from_dictionary. There is no mention of prerequisites or scenarios where this tool is appropriate.

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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