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ai_translate

Translate text to a target language using AI, with optional source language detection and context hints for appropriate tone.

Instructions

Translate text to a target language. Requires service key and active AI Translation add-on. Supports optional source language and context hint.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toYesTarget language (ISO 639-1 code, e.g. 'es', 'ja', 'fr')
fromNoSource language (ISO 639-1 code). Auto-detected if omitted
textYesText to translate (max 10,000 characters)
contextNoContext hint for tone/register (max 200 chars, e.g. 'formal business email')
project_idYesThe project ID
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses the need for a service key and active add-on, and mentions optional parameters. However, it lacks detail on error behavior, rate limits, or return format.

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?

Three sentences covering purpose, requirements, and options. No extraneous text, clear and front-loaded. Slightly over-simplified but effective.

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?

Given no output schema, the description omits return value details. It also does not mention character limits (though present in schema) or error cases. It covers core purpose but not enough for complete agent guidance.

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 coverage is 100%, so parameters are already documented. The description adds minimal value by noting 'optional source language and context hint,' which is redundant with schema descriptions. Baseline score of 3 is appropriate.

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 action ('Translate text to a target language') and the resource (text). It is unique among siblings, with no other translation tool, so no ambiguity.

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?

The description provides no guidance on when to use this tool versus alternatives. It only mentions prerequisites (service key, add-on) but does not specify contexts where translation is appropriate or when not to use.

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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