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ledfx_recommend_effects

Suggests appropriate LED effects based on a natural language description of desired mood or scene.

Instructions

Get effect recommendations based on description or mood

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
descriptionYesDescription of desired mood or scene
moodNoMood keyword (party, chill, focus, romantic)
Behavior2/5

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

No annotations are provided, so the description carries full burden. It only states it 'get effect recommendations', implying a read operation, but does not confirm safety, required permissions, or whether it modifies state. Minimal behavioral disclosure.

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?

Single sentence, very concise. No waste, but could include more structure or details without becoming verbose.

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 tool with 2 parameters and no output schema, the description is too minimal. It does not explain what the recommendations look like, how many, or the underlying logic. Agent would need additional context to use correctly.

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 100%, so baseline is 3. The description adds little beyond the parameter descriptions, only summarizing that input is description or mood. No additional constraints or formatting details.

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 clearly states the tool gets effect recommendations using description or mood. It distinguishes from siblings like ledfx_create_scene_from_description which creates scenes, not recommendations. However, it does not explicitly differentiate from other 'get' tools like ledfx_explain_feature.

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 such as ledfx_get_effect_schema or ledfx_list_effect_types. No information on prerequisites or when not to use.

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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