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RooQuiz

create_form_translation

Add a language version (translation) to a form. Clones the source text as the initial draft and returns it so you can translate right away: edit the human-readable text in place, keep every code identical to the source, then save with update_form_translation. The language must differ from the form's primary language, and there is at most one translation per language (see list_form_translations).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formIdYesThe source form UUID
languageYesTarget language for the new version. Must differ from the form's primary language.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
clonedNoThe cloned source draft — translate the text in place, keep every code, then save
formIdNoThe source form
languageNoLanguage of the new version
shareUrlNoPublic link for this language (source token + ?lang=)
translationIdNoThe new translation id

TDQS

A4.7/5.0
Behavior5/5

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

The description thoroughly discloses behavior beyond annotations: it clones source text as the initial draft, returns the draft for immediate editing, requires keeping codes identical, and enforces one translation per language and language differing from primary. This gives the agent a clear mental model of what will happen.

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?

A compact, front-loaded description that packs essential info into three sentences: the action, the return and workflow, and the constraints. No filler or redundant restating of the schema.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description fully covers what an agent needs to invoke this tool correctly: the purpose, the workflow, constraints, and where to verify uniqueness. The output schema covers return-value details, so the description completes the behavioral picture.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3. The description adds meaningful context for 'language' (must differ from primary, one per language) and clarifies that 'formId' is the source form. It also explains that clones source text, tying parameters to the behavior.

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?

States a specific verb and resource: 'Add a language version (translation) to a form.' It clearly differentiates from related siblings like update_form_translation (for saving edits) and list_form_translations (for checking existing translations).

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?

Gives clear usage context: use this to create a translation, then save with update_form_translation, and check list_form_translations for uniqueness. It could be more explicit about when not to use it or which alternative covers different cases, but the workflow is well communicated.

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

A4.1/5.0
Disambiguation4/5

Most tools pair a distinct resource with a distinct verb, and the descriptions do a good job of separating related concepts like leads, records, examinees, and bookings. The only real ambiguity is between list_records (submission records, also called leads) and list_leads (CRM leads), plus a mild overlap between update_form and update_form_settings, but careful reading resolves both.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern, using standard verbs like get_, list_, create_, update_, delete_, add_, insert_, move_, and set_. Minor stylistic variation such as add_question vs. insert_question is still predictable and does not hurt usability.

Tool Count2/5

48 tools is a very heavy surface for an MCP server. While each tool appears purposeful, the server spans forms, questions, translations, analytics, leads, bookings, examinees, media, and team administration, making it feel like a full platform API rather than a focused server. Most agents will only ever need a subset of these tools.

Completeness4/5

The core quiz lifecycle is well covered: form creation/editing/deletion/restore/duplicate/translation, question CRUD/move, delivery settings, statistics/funnels, lead CRM, bookings, examinees, media upload, and tenant basics. The main gaps are minor — no member list/remove/role management beyond invite, no media library listing/deletion, and no bulk export of records — but these do not create dead ends in the primary quiz/lead/booking workflows.

Resources