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turn_on_nanoleaf

Activate Nanoleaf smart lights to illuminate your space using the Nanoleaf MCP Server, enabling control from compatible clients like Warp terminal.

Instructions

Turn on the Nanoleaf lights

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • MCP tool handler for 'turn_on_nanoleaf' that calls primaryDevice.turnOn() and returns a success message.
    case 'turn_on_nanoleaf':
      await primaryDevice.turnOn();
      return {
        content: [
          {
            type: 'text',
            text: 'Nanoleaf lights turned on',
          },
        ],
      };
  • src/index.ts:65-72 (registration)
    Registration of the 'turn_on_nanoleaf' tool including its name, description, and input schema (empty object).
    {
      name: 'turn_on_nanoleaf',
      description: 'Turn on the Nanoleaf lights',
      inputSchema: {
        type: 'object',
        properties: {},
      },
    },
  • Core implementation of the turnOn method in NanoleafClient class, which sends a PUT request to the /state endpoint to turn the lights on.
    async turnOn(): Promise<void> {
      await this.httpClient.put(this.getAuthUrl('/state'), {
        on: { value: true }
      });
    }
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states the action ('turn on') but doesn't describe what this entails operationally—whether it requires specific permissions, if it affects all lights or specific ones, what happens if lights are already on, or any error conditions. For a mutation tool with zero annotation coverage, this leaves significant gaps in understanding the tool's behavior.

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, clear sentence with zero wasted words. It's front-loaded with the core action and resource, making it immediately scannable and efficient. Every word earns its place by conveying essential information without redundancy or fluff.

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 the tool's simplicity (0 parameters, no output schema), the description is minimally adequate but incomplete. It lacks context about prerequisites (e.g., needing authorization or connection), behavioral details (like what 'turn on' means operationally), and relationships to sibling tools. For a mutation tool in a suite with multiple setup tools, this leaves the agent guessing about proper usage flow.

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 has 0 parameters, and schema description coverage is 100%, so there are no parameters to document. The description doesn't need to compensate for any parameter gaps, and it correctly implies no inputs are required. This meets the baseline for tools with no parameters, though it doesn't add extra context about implicit assumptions (like which lights are affected).

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 action ('turn on') and target resource ('Nanoleaf lights'), making the purpose immediately understandable. It distinguishes from sibling tools like 'turn_off_nanoleaf' by specifying the opposite action, though it doesn't explicitly differentiate from other power-related tools. The description avoids tautology by not just restating the tool name.

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 description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (like needing authorization or connection first), when not to use it (e.g., if lights are already on), or relationships to sibling tools like 'authorize_nanoleaf' or 'connect_to_ip'. The agent must infer usage from context alone.

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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