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rawtherapee-mcp-server

rawtherapee-mcp-server

by lucamarien
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

preview_luminance_mask

Preview a grayscale luminance mask to verify which tonal areas are affected by a local adjustment before processing.

Instructions

Preview a luminance mask showing which image areas are affected by a local adjustment.

Generates a grayscale mask image: white = full effect, black = no effect, gray = transition zone. Use this to verify the luminance range targets the correct tonal areas before processing.

Params: file_path, profile_path, spot_index, max_width

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "file_path": "<file_path>",
      "profile_path": "<profile_path>"
    },
    "name": "preview_luminance_mask"
  }
}

Input Schema

NameRequiredDescriptionDefault
file_pathYes
profile_pathYes
spot_indexNo
max_widthNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.4

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It describes the output format (grayscale mask) but does not explicitly state it is read-only or mention any side effects, permissions, or rate limits.

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 exceptionally concise, using two sentences and a parameter list. Every sentence adds value without redundancy.

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?

The tool has 4 parameters and no output schema. The description explains the output's visual meaning but omits parameter details (e.g., defaults, roles) and does not cover behavioral aspects like idempotency.

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

Parameters2/5

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

Schema description coverage is 0%. The description only lists parameter names without any explanation of their meaning (e.g., what profile_path or spot_index represent). This fails to compensate for the lack of schema descriptions.

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?

Explicitly states 'Preview a luminance mask' with a clear explanation of the grayscale output. Distinguishes itself from sibling tools like preview_lut or preview_before_after by focusing on luminance masking.

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?

Provides a clear use case: 'verify the luminance range targets the correct tonal areas before processing.' Though it doesn't list exclusions or alternatives, the context is sufficient.

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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