sensor_audio

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

With no annotations, the description must disclose behavioral traits, but it only describes the encoding pipeline. It does not mention the simulate flag (which generates a simulated waveform), source selection, or any side effects. This leaves the agent without critical operational 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 a single, focused phrase with zero redundancy or filler. It is front-loaded and easy to parse.

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?

Despite a detailed schema, the description lacks complete context: no explanation of when to use it, what the output latent represents, or how it fits into the sensor/A-JEPA workflow. The absence of annotations and output schema increases the burden, which the description does not meet.

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 description coverage is 100%, so the baseline is 3. The description adds no parameter-specific meaning, but the schema already provides defaults, ranges, and some descriptions (e.g., simulate, frequency), which sufficiently document the parameters.

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 performs A-JEPA audio encoding, with a specific transformation pipeline (Waveform → Mel → Latent). This distinguishes it from sibling sensor tools (e.g., sensor_visual, sensor_olfactory), though it lacks an explicit action verb like 'captures' or 'converts'.

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 is provided on when to use this tool versus alternatives. The description does not mention that it should be used for audio input, nor does it reference sibling tools or provide usage context.

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