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turn_off_nanoleaf

Turn off Nanoleaf smart lights using the Model Context Protocol server. Control lighting directly from your terminal or MCP-compatible client.

Instructions

Turn off the Nanoleaf lights

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • src/index.ts:73-80 (registration)
    Registration of the 'turn_off_nanoleaf' tool including its name, description, and empty input schema in the listTools response.
    {
      name: 'turn_off_nanoleaf',
      description: 'Turn off the Nanoleaf lights',
      inputSchema: {
        type: 'object',
        properties: {},
      },
    },
  • Handler logic for the 'turn_off_nanoleaf' tool call within the CallToolRequestSchema switch statement. Delegates to NanoleafClient.turnOff() method.
    case 'turn_off_nanoleaf':
      await primaryDevice.turnOff();
      return {
        content: [
          {
            type: 'text',
            text: 'Nanoleaf lights turned off',
          },
        ],
      };
  • Core implementation of turning off the Nanoleaf lights by sending a PUT request to /state endpoint with { on: { value: false } }.
    async turnOff(): Promise<void> {
      await this.httpClient.put(this.getAuthUrl('/state'), {
        on: { value: false }
      });
    }
Behavior2/5

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

With no annotations provided, the description carries full burden but only states the basic action. It doesn't disclose whether this requires authentication, what happens if lights are already off, whether it affects all lights or specific ones, or any error conditions. 'Turn off' implies mutation but lacks behavioral details.

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 perfectly front-loaded with the core action and target, making it immediately understandable without any structural issues.

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 mutation tool with no annotations and no output schema, the description is insufficient. It doesn't explain what 'turning off' entails (power state change? brightness to 0?), doesn't mention prerequisites like authorization or connection, and provides no information about the expected outcome or potential errors.

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 zero parameters with 100% schema description coverage, so no parameter documentation is needed. The description appropriately doesn't discuss parameters, earning a baseline score of 4 for correctly matching the parameter-free nature of the tool.

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 off') and target resource ('Nanoleaf lights'), making the purpose immediately understandable. However, it doesn't differentiate from its sibling 'turn_on_nanoleaf' beyond the obvious on/off distinction, missing an opportunity to clarify scope or limitations.

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 is provided about when to use this tool versus alternatives or prerequisites. While the name implies it's for turning lights off, there's no mention of when this is appropriate versus using set_brightness to 0% or whether the tool requires prior connection/authorization steps.

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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