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CARBON Studio Pro

CARBON Studio Pro

by jarbon
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
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Testing preferences

studio_preferences
Read-only

Open the CARBON Studio Pro visual quality workspace to manage persisted testing preferences. Does not execute tests.

Instructions

Open the CARBON Studio Pro visual quality workspace. Does not execute tests.

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_preferences"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior3/5

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

The readOnlyHint annotation already establishes this is a safe, non-mutating operation, and the description is consistent with that. It adds one useful behavioral fact ('Does not execute tests'), but says nothing about whether it changes workspace state, requires auth, or what it returns. Some added value over the annotation, but not rich.

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?

Two short sentences, front-loaded with the action and no filler. However, the second sentence's value is undermined by the tool's 'Testing preferences' title, which makes the 'does not execute tests' disclaimer feel disconnected rather than clarifying.

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

Completeness2/5

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

With no parameters, no output schema, and a read-only annotation, the structured fields carry little, yet the description still omits what 'preferences' means, whether any state changes, and how it differs from studio_open. The name/title/description mismatch leaves an agent unable to confidently select the tool.

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 zero parameters, so there is nothing for the description to disambiguate; baseline 4 applies. Schema coverage is trivially 100% and the empty input schema is self-explanatory.

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

Purpose3/5

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

The description names a verb and resource ('Open the CARBON Studio Pro visual quality workspace'), but it conflicts with the tool name (studio_preferences) and title ('Testing preferences'), which reference preferences/testing rather than visual quality. It also fails to distinguish itself from the sibling studio_open, which appears to do a similar 'open' action.

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

Usage Guidelines2/5

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

The only usage signal is a negative constraint ('Does not execute tests'), with no statement of when to use this tool, prerequisites, or how it relates to the overlapping studio_open and settings.read siblings. An agent has no basis for choosing it over alternatives.

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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