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Studio options

studio_enums
Read-only

Free. The Studio's option lists: voices and voice providers, caption_styles ({value,label}, from the cloud published list), visual styles/looks, aspects, AI tiers. Read before setting any of them.

Returns: {ok, caption_styles:[{value,label}], ...lists}

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "studio_enums"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

readOnlyHint=true already establishes this is a safe read, so the safety profile is covered by annotations. The description adds genuinely new behavioral facts: it costs nothing, caption_styles come from the cloud published list, and items are shaped as {value,label}. It does not state whether the lists can vary by account or project, which would matter before setting values.

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?

Front-loaded with the cost and the resource list, then a return-shape block. The telegraphic style ("Free.", "...lists") is efficient, though the return sketch is abbreviated enough that an agent must infer the full key set.

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?

With no output schema and no parameters, the description must carry the return shape, and it does so at least partially. The main omission is that the return block ends in a placeholder rather than enumerating all list keys, though the prose body already names them.

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?

The tool takes no parameters, so the baseline is 4 and there is nothing for the description to clarify. The description instead documents the returned value/label pairing, which is the useful semantics here.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description enumerates the exact resources returned — voices and voice providers, caption_styles, visual styles/looks, aspects, AI tiers — which is far more specific than the name or title. It also implicitly distinguishes itself from siblings like studio_voice or studio_visual by framing this as the option-lookup tool rather than an action tool. It stops short of an explicit verb like 'list', but the intent is 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?

"Read before setting any of them" gives a clear trigger: call this before choosing voices, styles, aspects, or tiers elsewhere. "Free" preempts a likely agent worry about cost. There is no explicit exclusion or named alternative, but for a zero-parameter enum lookup the usage condition is well established.

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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