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

With no annotations, the description takes on full disclosure responsibility. It details the exact chain created ('Revamp EQ → Compressor → Reverb (→ Delay)'), states the return value ('Returns effect indices and parameter values set'), and explains preset behavior. However, it does not explicitly state whether the chain is appended to existing effects or replaces them, nor does it mention error scenarios (e.g., invalid unit_index), which would be useful for full transparency.

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 thorough yet well-organized: opening summary, benefit statement, parameter details in structured bullet-like lines, chain output, and three practical examples. Every sentence contributes useful information without redundancy, making it easy for an agent to parse quickly.

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 moderate complexity (4 params, 5 presets, output schema) and zero annotations, the description is remarkably complete. It covers purpose, parameter semantics, behavioral details, return values, and usage examples, leaving no significant gaps for an agent to guess about. The output schema handles formal return structure, so the description's mention of return contents is sufficient.

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?

Schema coverage is 0%, so the description must fully document parameters, and it does. Every parameter is explained: unit_index ('Target audio unit'), style with five detailed preset descriptions, and both amount parameters with ranges and defaults. This far exceeds what the schema provides, making invocation behavior predictable.

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 first sentence clearly states the tool's function: 'Add a ready-made vocal processing chain to an audio unit — EQ + compressor + reverb (+ optional delay).' It also distinguishes itself from siblings by explicitly noting 'One call replaces 3-4 individual add_effect + set_effect_parameter calls' and specifies scope ('Designed for vocal tracks but works on any melodic content').

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 explicit guidance on when to use this tool: it replaces multiple add_effect and set_effect_parameter calls, making it the efficient choice for standard vocal chains. It also differentiates from other chain tools (mastering, drum, bass, instrument) by focusing on vocal/melodic content, giving clear context for appropriate usage.

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