Skip to main content
Glama

ledfx_apply_preset

Apply a lighting preset to a virtual LED device by selecting category, effect type, and preset ID.

Instructions

Apply a preset to a virtual

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
virtual_idYesThe unique identifier of the virtual
categoryYesPreset category: 'ledfx_presets' or 'user_presets'
effect_idYesThe effect type
preset_idYesThe preset identifier
Behavior2/5

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

No annotations are present, so the description must fully disclose behavior. It merely states 'Apply a preset' without clarifying whether this overwrites the current effect, triggers immediately, or has side effects. Minimal transparency for a mutation tool.

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?

The description is a single, efficient sentence with no wasted words. It is front-loaded and clear, though it could benefit from more structure.

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?

Given 4 required parameters and no output schema, the description is too minimal. It lacks context on virtual state prerequisites, effect overwrite behavior, or expected output, making it incomplete for safe invocation.

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 coverage is 100%, with all parameters described in the schema. The description adds no extra meaning beyond the schema, so a baseline score of 3 is appropriate.

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 'Apply a preset to a virtual' clearly states the action and target resource. The tool name and description align. However, it does not differentiate from siblings like ledfx_apply_global or ledfx_set_effect, which also modify virtuals.

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?

No guidance on when to use this tool versus alternatives. There is no mention of prerequisites or typical use cases, leaving the agent without decision support.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/abossard/ledfx-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server