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volumeDown

Decrease audio volume on Lyngdorf devices using precise 0.5dB steps. Adjust volume levels for different listening environments from quiet background to loud playback.

Instructions

Decrease volume by 0.5dB steps. VOLUME GUIDANCE: Due to logarithmic nature of dB, single steps (0.5dB) are barely audible. For noticeable changes: use 4-6 steps (2-3dB) for moderate adjustments. Typical listening: -40 to -30dB (quiet background), -25 to -15dB (moderate), -10 to 0dB (loud). Always check current level first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stepsNoNumber of 0.5dB steps. Recommend 4-6 steps for audible change
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively explains the tool's behavior: the logarithmic nature of dB means 'single steps (0.5dB) are barely audible,' it provides practical guidance on step counts for different effects, and mentions typical volume ranges. However, it doesn't explicitly state whether this is a read-only or destructive operation, though 'Decrease volume' implies mutation.

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 efficiently structured with clear sections: operational details first, then usage guidance, then typical ranges, and finally a best practice. Every sentence adds value with no wasted words, and it's appropriately sized for a single-parameter tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a volume adjustment tool with one parameter and no output schema, the description is quite complete. It explains the tool's purpose, provides practical usage guidance, and gives context about volume levels. The only minor gap is that it doesn't explicitly state what happens if the volume reaches minimum (e.g., whether it stops decreasing or wraps around), but this is reasonable given the tool's simplicity.

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 schema description coverage is 100%, so the schema already documents the 'steps' parameter. However, the description adds significant value by explaining the practical meaning of steps ('0.5dB steps'), providing usage recommendations ('4-6 steps for audible change'), and contextualizing the logarithmic nature of dB adjustments. This goes beyond what the schema provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the specific action ('Decrease volume') and mechanism ('by 0.5dB steps'), distinguishing it from sibling tools like 'setVolume' (absolute setting) and 'volumeUp' (increase). It provides concrete operational details that go beyond 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 Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly provides usage guidance with specific recommendations: 'For noticeable changes: use 4-6 steps (2-3dB) for moderate adjustments' and 'Always check current level first.' It also provides context about typical listening levels (-40 to -30dB for quiet background, etc.) that helps determine when to use this tool.

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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