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

With no annotations, the description fully discloses internal behavior: it describes the automation events generated ('[[0, false], [start_beat, true], [end_beat, false]]') and confirms that all tracks are restored. This provides comprehensive behavioral context.

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 well-structured with a clear breakdown: purpose, benefit, internal mechanism, parameter list, and examples. It is slightly lengthy but every sentence adds value; could be slightly more concise but remains effective.

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 (5 parameters, output schema exists) and no annotations, the description covers all aspects: purpose, usage context, internal logic, parameter semantics, return value, and practical examples. It is complete for agent decision-making.

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 has 0% description coverage, but the description compensates by defining each parameter (solo_track, total_tracks, start_beat, end_beat, unit_indices) with clear explanations and examples, adding significant meaning beyond the schema titles.

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 tool's purpose: 'Mute all tracks except the solo track for a beat range, then restore.' It uses a specific verb and resource combination, and explicitly differentiates itself from the sibling tool create_mute_automation.

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 explains when to use this tool (e.g., 'Essential production technique: spotlight one element') and explicitly contrasts it with the alternative of multiple create_mute_automation calls, providing clear usage guidance.

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