Normalize Audio Loudness

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

Description adds value beyond annotations by mentioning the monetary cost ($0.01) and output details (bounded MP3, evidence, digests). It does not contradict the readOnlyHint, idempotentHint, or openWorldHint annotations.

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?

Single sentence with no filler, directly conveying the core functionality and cost. Every word contributes to understanding.

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 no output schema and four optional parameters, the description covers the main use case and cost. It could elaborate on output format details or edge cases, but is largely adequate.

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 description explains two parameters (url and audioBase64) as input sources, but does not clarify maxSeconds or targetLufs. With 0% schema coverage, the description partially compensates but leaves gaps.

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 clearly states the action (normalize), input sources (HTTPS or base64 audio), and output (bounded MP3 with loudness evidence and content digests). It is specific and distinguishes the tool from unrelated siblings.

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 implies usage for audio normalization but lacks explicit guidance on when to use or avoid it, or comparisons with alternatives. Since siblings are unrelated, confusion is minimal, but no direct usage instructions are given.

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