Lyngdorf MCP Server

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 describes the tool's behavior by explaining the logarithmic dB scale, providing reference levels, and warning about risks at high volumes. However, it lacks details on permissions, rate limits, or error handling, which are important 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.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is appropriately sized but could be more front-loaded; the volume guidance and warnings are useful but might be better structured. Every sentence adds value, but it could be slightly more streamlined for quicker comprehension.

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

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

Given the tool's complexity (mutation with safety implications), no annotations, and no output schema, the description does a good job covering purpose, usage, and behavioral context. It could improve by including more on error cases or confirmation of changes, but it is largely complete for its function.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema description coverage is 100%, so the baseline is 3. The description adds significant value by explaining the dB scale's logarithmic nature, providing reference levels, and advising conservative increases, which enhances understanding beyond the schema's numeric range and typical values.

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

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

The description explicitly states the action ('Set absolute volume level') and resource ('in dB'), distinguishing it from sibling tools like 'volumeUp' or 'volumeDown' which adjust volume incrementally. It clearly defines the tool's specific function without being vague or tautological.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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

The description provides clear context on when to use this tool by explaining the dB scale and typical listening levels, but it does not explicitly mention when to use alternatives like 'volumeUp' or 'volumeDown' or specify exclusions. It implies usage for setting precise volume levels rather than relative adjustments.

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