Translation Job Desk
Server Details
Build a translation job entry
- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
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Tool Definition Quality
Average 2.6/5 across 1 of 1 tools scored.
With only a single tool, there is no ambiguity. The tool's purpose is clear and distinct.
The tool name follows a clear verb_noun pattern (build_translation_job_entry), and with only one tool, consistency is inherent.
A single tool for a translation job desk feels insufficient. Typically, such a system would require multiple tools for managing the full lifecycle (create, read, update, delete, search).
The server only provides an operation to build translation job entries, lacking any tools for listing, updating, deleting, or retrieving existing jobs. The surface is severely incomplete for the stated domain.
Available Tools
1 toolbuild_translation_job_entryTranslation Job DeskCInspect
Builds translation job entries from selected language, glossary, and register settings for localization operations.
| Name | Required | Description | Default |
|---|---|---|---|
| translation_setting | Yes | Translation setting selected for the localization job. |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, and the description fails to disclose behavioral traits such as idempotency, side effects, or error handling. It only states the action without additional context.
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 a single concise sentence, but it includes details that are not reflected in the schema, which may confuse the agent. It is not optimally structured.
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 the low complexity (one parameter, no output schema), the description is somewhat complete but lacks clarity on how the mentioned settings map to the single parameter. It does not cover return values or additional context.
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?
Schema description coverage is 100%, so baseline is 3. The description adds that the tool uses language, glossary, and register settings, implying they are part of the 'translation_setting' parameter, but it does not explain how they are combined or structured.
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 states the tool 'builds translation job entries', which clearly identifies the action and resource. However, it mentions 'language, glossary, and register settings' that do not appear as separate parameters in the input schema, creating inconsistency and reducing clarity.
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 guidance is provided on when to use this tool versus alternatives. There are no sibling tools mentioned, and no prerequisite or context information is given.
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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{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
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