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get_supported_languages

Retrieve the available languages with language codes and display names, enabling users to choose source and target languages before document translation.

Instructions

获取支持的语言列表(语言码 -> 显示名)。请在调用 translate_document 之前调用此工具,让用户选择源语言和目标语言。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
display_localeNo显示名使用的界面语言,默认 zh。可选 en、zh、zh-Hant、ja、ko、fr、ru、de、ar

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. It adds useful context — the return mapping (language code -> display name) and the orchestration role — but does not disclose the exact response structure, error behavior, or explicitly confirm a read-only/no-side-effect profile. Adequate but with a real gap given zero annotation coverage.

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?

Two compact sentences: the first names the function and return content, the second gives usage sequencing. Every sentence earns its place, and the most important information is front-loaded.

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?

Complete for a simple list tool with one optional parameter: it states what is returned and when to call it. Since there is no output schema, the return-value hint ('语言码 -> 显示名') partially compensates, though the exact response shape remains unspecified. A minor but non-critical gap.

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%, with display_locale fully documented in the schema (default zh, allowed values listed). The description adds no new parameter semantics beyond what the schema already provides, so the baseline 3 applies.

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 states a specific verb and resource ('获取支持的语言列表') and specifies the return content (language code -> display name). This clearly differentiates it from sibling list tools like get_model_list, so an agent can select it correctly without opening the schema.

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 explicitly instructs calling this tool before translate_document so the user can choose source and target languages. It gives clear sequencing context and purpose, but doesn't mention whether it also applies to video translation workflows (translate_video) or name any exclusions, so it falls short of full when/when-not guidance.

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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