get_language_code
Retrieve language code information to map languages for translation. Obtain language identifiers needed for translation requests.
Instructions
获取语言code信息
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve language code information to map languages for translation. Obtain language identifiers needed for translation requests.
获取语言code信息
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It implies a safe read operation but does not explicitly state idempotency, side effects, or return behavior. The description is minimally transparent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short (one phrase in Chinese). While concise, it lacks structure and additional details that would help an agent. It is not overly verbose but could be more informative.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no parameters and no output schema, the description should at least hint at the expected return (e.g., list of language codes). It does not, leaving the agent guessing about the tool's output. Incomplete for practical use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are zero parameters, so the empty schema covers all. The description does not add parameter information, but none is needed. Baseline score of 4 is appropriate as no additional clarification is required.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description '获取语言code信息' clearly states the verb 'get' and the resource 'language code information'. It distinguishes from sibling tools which focus on projects, memories, and terms. However, it lacks specificity on what exactly the returned information contains (e.g., list of codes, mapping?).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No usage guidelines are provided. The description does not indicate when to use this tool versus alternatives, nor does it mention any prerequisites or context for invocation.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/Deep-Intelligent-Pharma/Translationx-mcp-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server