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tool_get_language_phrasebook

Get a phrasebook with pronunciation guides and essential phrases for your destination. Choose from 17 languages and categories like greetings, food, or emergencies.

Instructions

Get a phrasebook for the local language at a destination.

Covers 17 languages with pronunciation guides and essential phrases.

Args: destination: City or country name (e.g., "Tokyo", "France", "Bangkok") language_code: Override language (ja, fr, es, it, de, pt, th, zh, ar, ko, hi, vi, id, tr, ms, sw) category: greeting | essential | food | transport | shopping | emergency | accommodation | numbers

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
destinationYes
language_codeNo
categoryNo
Behavior3/5

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

With no annotations, the description must fully disclose behavior. It mentions coverage of 17 languages and provides parameter details, but does not clarify data sources, real-time requirements, or output format. The basic read operation is implied, but limited depth prevents a higher score.

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 highly concise: three short sentences plus an Args list. The first sentence states the purpose, the second adds coverage details, and the Args list organizes parameters efficiently. No redundant or vague sentences.

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?

For a simple tool with no output schema, the description is nearly complete. It explains the purpose, covered languages, and all parameters. Missing elements: return format (e.g., JSON, list of phrases) and confirmation of offline or real-time behavior. Still, it covers essential user-facing needs.

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

Parameters5/5

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

Schema description coverage is 0%, so the description must add meaning. It successfully explains each parameter: destination as 'City or country name', language_code with a list of 17 codes, and category with enumerated values. This provides excellent guidance beyond the schema's bare type declarations.

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's function: 'Get a phrasebook for the local language at a destination.' It specifies the resource (phrasebook) and verb (get), and distinguishes it from sibling tools which focus on flights, visas, etc., none of which offer language phrasebooks.

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 implies usage for travelers needing essential phrases, but does not explicitly state when to use it versus alternatives. However, given that no sibling tool provides phrasebooks, the context is clear. A minor improvement would be adding explicit conditions like 'For quick language assistance during travel.'

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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