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Glama

publish_translation

Publish translations for a project, making them live and available for use.

This function publishes all translation keys and their translations for the specified project, making them available in the production environment.

Args: project_key: Project key (tenant ID). Uses global tenant_id if not provided

Returns: JSON string with publish operation result including success/failure status

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_keyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A3.7/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions making translations live in production and returns a success/failure status, but it does not disclose potential side effects (e.g., overwriting existing live translations), permission requirements, or irreversibility. The fallback to global tenant_id is a positive detail, but overall it is insufficient for a production-affecting mutation.

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?

The description is well-structured: a clear one-line summary, a short elaboration, and then explicit Args/Returns sections. It is concise, though the second sentence ('This function publishes all translation keys...') partially restates the first sentence, adding a minor redundancy.

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?

The tool is simple with one optional parameter and an output schema, so the description covers the essentials. However, it lacks usage guidance and behavioral safety context (e.g., permissions, reversibility), which are important for a production publish action. The description is adequate but has clear gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has only one parameter with no description coverage (0%), but the description fully compensates by explaining that project_key is a tenant ID and that it falls back to the global tenant_id if not provided. This adds meaningful semantic clarity beyond the bare schema definition.

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: 'Publish translations for a project, making them live and available for use.' It specifies the resource (translations) and the context (production environment), distinguishing it from sibling tools like save_module_keys_with_translations or get_translation_languages.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for making translations live in production, but it does not explicitly state when to use this tool versus alternatives, and it lacks any exclusions or prerequisites beyond the optional project_key. The context is clear but not explicit about comparative 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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TDQS

A3.5/5.0
Disambiguation4/5

The tools are organized into clear domains (auth, roles, schemas, translations, projects), and within each domain, tools have distinct purposes (e.g., get_schema vs list_schemas, save_captcha_config vs update_captcha_status). A few pairs like get_auth_status and get_authentication_config could cause minor confusion, but their descriptions clarify the difference.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case, using predictable verbs like get, list, create, update, set, enable, and configure. Even longer names like save_module_keys_with_translations adhere to the same convention, with no mixed casing or arbitrary styles.

Tool Count2/5

With 36 tools, the server exceeds the typical well-scoped range for MCP servers. While the broad platform domain justifies some breadth, the sheer volume can overwhelm agents and suggests the toolset could be consolidated or split into smaller, focused servers.

Completeness3/5

The toolset provides decent coverage for creation, listing, and some updates across entities like permissions, roles, schemas, and translations. However, there are notable gaps: no delete operations for most resources, no role update, and no project update/delete, which leaves lifecycle management incomplete.

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