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Lightroom MCP Elite

Lightroom MCP Elite

by baramesh
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

set_develop_settings

Adjust photo develop settings such as Exposure, Highlights, Shadows, Clarity, Dehaze, and Vibrance by applying values directly to a specified photo.

Instructions

Set Develop adjustments directly on a photo (Exposure2012, Highlights2012, Shadows2012, Clarity2012, Dehaze, Vibrance, etc.).

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": {
      "photo_id": "<photo_id>",
      "settings": "<settings>"
    },
    "name": "set_develop_settings"
  }
}

Input Schema

NameRequiredDescriptionDefault
photo_idYes
settingsYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It clearly implies a mutating operation on a photo's develop state, but it does not say whether unspecified settings are reset or preserved, whether the photo must be open/selected, or whether the change is reversible.

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 a single sentence that front-loads the action, names the resource, and uses 'etc.' to keep the long adjustment list compact without losing meaning. There is no filler.

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?

For a write tool with no annotations, a free-form settings object, and no schema descriptions, this description is too thin. It says what the tool does but not how to shape the settings payload, what happens to existing adjustments, or what constraints apply. The output schema covers return values, but the input side is insufficiently explained.

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 0%, so the description compensates partially by listing example settings keys that the free-form 'settings' object accepts. However, it provides no guidance on accepted values, ranges, units, or how photo_id should be supplied, leaving the semantics under-specified.

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 names a clear action ('Set Develop adjustments') and a target ('a photo'), then lists concrete adjustment names such as Exposure2012, Highlights2012, Dehaze, and Vibrance. This is specific, though it does not explicitly call out sibling alternatives like apply_develop_preset or copy_develop_settings.

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 phrase 'directly on a photo' hints that this tool is for setting individual raw adjustment values rather than applying a preset or copying settings, but the description never states that condition explicitly. It gives no when-to-use guidance and names no alternatives or exclusions.

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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