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Glama

RooQuiz

get_form

Read-only

View one form of the current team in full, including the questions list fields[] and the report configuration. For outcome forms, the outcome codes that question votes reference live in report.outcomeAnalysis.outcomes. language is the primary language; existing non-primary language versions are listed in translationLanguages.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe form UUID
includeFieldsNoWhether to return fields[] (raw data of questions + page breaks), default true. For large forms you can pass false to skip
includeReportNoWhether to return the report configuration, default true

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoForm id
sceneNoknowledge_quiz / scored_quiz / outcome_quiz
themeNoAnswer-page theme name
titleNoForm title
fieldsNoFull question list with code / choices / scoring (only when includeFields)
reportNoReport configuration, trimmed to the scene (only when includeReport)
isActiveNoWhether the form is open for submissions
languageNoPrimary language
shareUrlNoPublic share / answer link
createdAtNoISO datetime
openGraphNoSocial share card { title, description, image, keywords }
updatedAtNoISO datetime
systemTextNoOverridden system copy, keyed by text key
descriptionNoForm description
publicTokenNoToken behind the public answer link
translationLanguagesNoLanguages that already have a translation

TDQS

A4/5.0
Behavior4/5

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

Annotations already establish readOnlyHint=true and destructiveHint=false, and the description is fully consistent with a pure read operation. The description adds value by disclosing where outcome codes live (report.outcomeAnalysis.outcomes) and that language is the primary language with others listed in translationLanguages. It does not mention rate limits or pagination, but with a read-only safety profile these are minor rather than critical gaps.

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 front-loads the main purpose in the first sentence and keeps the follow-up snippet compact. The dense references to fields[], report configuration, outcome codes, and language are informative; no filler or repeated schema information. It is slightly more technical than it needs to be, but each clause earns its place.

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 output schema exists, annotations cover the safety profile, and all parameters are documented in the input schema. The description closes the remaining gap — understanding how the response is organized — by pointing exactly where outcome codes and language variants live. Nothing an agent needs to invoke this tool correctly is absent.

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 description coverage is 100%, so the baseline is 3 even without extra parameter context. The description's notes about outcomeAnalysis and translationLanguages describe the response shape rather than the input parameters, so it doesn't materially enrich the meanings of the already clearly documented id/includeFields/includeReport parameters.

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 a specific verb and resource: 'View one form of the current team in full', then states precisely what is returned (fields[] and the report configuration). It naturally differentiates from siblings like get_form_stats, get_form_funnel, get_form_translation, and list_forms, since the scope is a single complete form definition.

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 usage context is implied — a caller needing the full form detail, including question fields and report config, would reach for this tool. However, the description never names any alternatives or excludes when the agent should prefer a sibling like get_form_stats, get_form_translation, or list_forms. The selection rule has to be inferred from sibling names and the 'in full' wording.

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