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RooQuiz

update_tenant_slug

Change the team address of the current team — the first path segment of every quiz link on the platform domain (quizster.app//). Owner / admin only. Lowercase letters, digits, hyphens and underscores, 4-32 chars, must start and end with a letter or digit, unique across the whole platform, and cannot be cleared. Changing it moves EVERY public quiz link of the team at once and the old address stops resolving (cached entries may linger briefly), so treat this as a rare, deliberate rename — not routine tuning; token addresses (/a/) keep working. Read the current value with get_active_tenant.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesThe new team address

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugNoThe new team address — the first path segment of every platform-domain quiz link
tenantIdNoThe team that was renamed

TDQS

A4.5/5.0
Behavior5/5

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

The description substantially discloses behavior beyond the annotations: changing the slug 'moves EVERY public quiz link of the team at once', the old address stops resolving, and cached entries may linger. It also mentions permissions, uniqueness, and inability to clear the slug. No contradiction exists with the annotations.

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 dense but every sentence adds necessary context: primary effect, meaning of the field, permissions, format constraints, uniqueness, destructive link consequences, and read alternative. The core action is front-loaded, and nothing is filler.

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?

For a single-parameter mutation tool, the description explains the full call surface: the effect, validation requirements, ownership requirements, secondary impacts, and the alternative read tool. Since an output schema exists, documenting return values in prose is not necessary.

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?

The schema already provides the only parameter with 100% description coverage, so the baseline is 3. The description adds genuinely useful format rules such as lowercase letters, digits, hyphens, underscores, 4–32 characters, and start/end constraints, which go beyond the schema phrase 'the new team address'.

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 names the exact verb ('change the team address') and a concrete resource ('of the current team'), then defines precisely what a team address is: 'the first path segment of every quiz link'. It clearly differentiates this tool from siblings like get_active_tenant and broader update tools.

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?

It states who can perform the action (owner/admin only) and when it is appropriate: 'a rare, deliberate rename — not routine tuning'. It also routes reads to get_active_tenant. It lacks a more explicit list of when-not-to-use alternatives, but the context is clear enough.

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