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RooQuiz

get_form_translation

Read-only

Read the full content of one language version (translation) of a form, including the mirrored fields[] and report. Use this to fetch the current draft before translating: edit the human-readable text in place, keep every code identical to the source form, then save with update_form_translation. Returns an error if that language version does not exist yet (create it first with create_form_translation).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formIdYesThe source form UUID
languageYesWhich language version to read

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleNoTranslated title
fieldsNoTranslated questions, mirroring the source codes
formIdNoThe source form
reportNoTranslated report copy
isActiveNoWhether this language version is live
languageNoLanguage of this version
shareUrlNoPublic link for this language
updatedAtNoISO datetime
systemTextNoTranslated system copy
descriptionNoTranslated description

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, signaling a safe read. The description adds meaningful context beyond that: it discloses the error condition ('Returns an error if that language version does not exist yet') and the precondition. It also reveals what is disclosed via the fields listing. It does not describe response format, but an output schema exists, so the need is minimal.

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?

Three short sentences cover purpose, workflow usage, and error condition with zero filler. The purpose is front-loaded; the workflow guidance and precondition follow logically. No sentence is wasted.

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?

Given the tool's simplicity (2 params, 100% schema coverage, output schema present), the description covers everything an agent needs: what it reads, how it should be used in the translate workflow, and what happens when the language version is missing. Nothing essential is missing.

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

Parameters3/5

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

Schema coverage is 100%, with both formId and language fully documented. The description adds context by explaining that 'language' selects a 'language version (translation)' and that codes must remain identical to the source form, but it does not go deep on what formId's value means beyond the source form's UUID. Baseline 3 is appropriate on schema does the heavy lifting.

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 uses a specific verb-resource pair: 'Read the full content of one language version (translation) of a form,' and names the exact scope ('mirrored fields[] and report'). This cleanly separates it from the base get_form and from the other translation tools by specifying that it targets a language-specific variant.

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

Usage Guidelines5/5

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

The description explicitly embeds the tool in a workflow: 'Use the content to populate an onboarding request the current draft before translating ... then save with update_form_translation.' It also tells the agent when NOT to call it - if the translation doesn't exist, create it first. This is ideal guidance without any additional effort.

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