Skip to main content
Glama

Pela translation tuning

pela_translate_tuning
Read-only

Get translation tuning instructions for language pairs to adjust naturalness, tone, and script, enabling precise control over localization style.

Instructions

Return translation tuning instructions (naturalness, tone, script) for a given language pair.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pairYesLanguage pair. One of: en-jp, en-es.
toneNoTone. One of: neutral, friendly, formal, casual. Defaults to neutral.
scriptNoScript mode, where the pair supports one. One of: default, kanaonly, kanjionly, romaji. Defaults to the pair's standard orthography.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
pairYes
toneYes
scriptYes
instructionsYes
Behavior4/5

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

The readOnlyHint annotation already indicates a safe read operation. The description adds useful context beyond this by specifying that the instructions pertain to naturalness, tone, and script, which is not captured in the annotation. There is no contradiction.

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 a single, front-loaded sentence with no unnecessary words. It immediately states the action and the outcome, making it highly concise and well-structured.

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

Completeness5/5

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

Given the presence of an output schema, the description does not need to explain return values. The schema fully documents parameters, annotations cover the safety profile, and the tool is simple enough that the description, schema, and annotations together provide comprehensive context.

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?

The input schema provides 100% coverage with detailed descriptions and enums for all three parameters. The tool description adds minimal parameter-related meaning beyond what the schema already contains, so it does not significantly compensate for any gaps.

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 uses the specific verb 'Return' and clearly identifies the resource as 'translation tuning instructions' scoped to 'a given language pair'. This unambiguously conveys the tool's purpose and differentiates it from translation execution tools.

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 clearly states the purpose and implies usage when tuning instructions are needed. However, it does not explicitly mention when not to use the tool, and no alternatives are noted since there are no sibling tools.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/mojavestudio/PelaPela-Agent-Skill'

If you have feedback or need assistance with the MCP directory API, please join our Discord server