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save_module_keys_with_translations

Save multiple translation keys with their translations to modules in a project.

Args: request: SaveKeysTranslationRequest object containing: - ProjectKey: Project key (tenant ID). Uses global tenant_id if not provided - Translations: List of SaveKeyTranslationRequest objects, each containing: - KeyName: The translation key name - ModuleId: The module ID - ItemId: The Key ID (existing itemId on update else empty string on creation) - IsNewKey: On creation of new key it's True and for update it will be False - Resources: List of KeyTranslationResource objects with Value and Culture

Returns: JSON string with batch translation keys creation result including status and results for each key

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A4.3/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It explains the create/update semantics and the return format, but does not disclose side effects like overwriting behavior, atomicity, or permissions. This is adequate but has gaps.

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 well-structured with Args and Returns sections, front-loaded with a clear purpose sentence. The nested bullet format is appropriate for the complex request object, and each line contributes useful information.

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?

The description covers the request structure, parameter semantics, and return status for each key, which is sufficient for invoking the tool. It lacks some operational context like error handling or prerequisites, but given the presence of an output schema and the detail provided, it is nearly complete.

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?

Schema coverage is 0%, but the description compensates thoroughly by explaining every parameter in detail, including ProjectKey fallback, ItemId semantics, and Resources structure. This adds significant meaning beyond the raw schema.

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 opens with 'Save multiple translation keys with their translations to modules in a project,' which clearly identifies the action (save), the resource (translation keys with translations), and the target (modules in a project). This distinguishes it from siblings like get_module_keys or publish_translation, making the purpose unambiguous.

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 provides contextual guidance on create vs. update via the IsNewKey and ItemId parameters, clarifying when each is used. However, it does not explicitly name alternatives or state exclusions, so while usage context is clear, it stops short of full 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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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.

Resources