analyze_label_sounds

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

With no annotations, the description must fully disclose behavior. It explains the threshold-based algorithm but omits whether labels are added to an existing label track, whether previous labels are replaced, or if the tool requires a selection. Side effects and project modifications are not specified.

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 concise and front-loaded with a one-sentence summary. The arg list is structured and efficient, though it could be more narrative. No redundant information.

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, the description should explain what the tool returns. It does not mention the return value or format. The tool creates labels but doesn't specify if it modifies the project directly or returns label data.

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 provides 0% description coverage, so the description carries full burden. It clearly explains each parameter (threshold_db, min_silence_duration, min_sound_duration) with units, defaults, and semantic meaning, adding value beyond the bare schema.

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 it 'automatically label[s] regions of sound separated by silence'—a specific verb and resource. It distinguishes from siblings like 'analyze_beat_finder' or 'analyze_contrast' which perform different analyses.

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?

No guidance on when to use this tool versus alternatives. It does not mention prerequisites, appropriate contexts, or suggest when not to use it.

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