sensor_visual

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

No annotations are provided, so the description must carry the burden of behavioral disclosure. It states 'Visual Encoding' but does not describe side effects, real vs. simulated data, hardware requirements, or output format. The schema hints at simulation via 'simulate' parameter, but this is not mentioned in the description.

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 extremely short (one phrase), which is concise but lacks structure. It is not formatted for easy parsing by an AI agent (no sentences, no separation of concerns). Could be improved with a brief sentence or bullet points.

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 has 2 parameters (one nested object) and no output schema, the description is too minimal. It does not explain what the output is, how it integrates with other sensor tools, or when to use it. Sibling tools like sensor_audio and sensor_fuse are similarly named but this description offers no distinguishing context.

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% (all parameters have descriptions in the schema). The description adds no additional meaning beyond the schema; it merely names the tool. Baseline score of 3 is appropriate.

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 'V-JEPA 2 Visual Encoding (Image/Video)' clearly indicates the tool is for visual encoding using a specific model, handling images or videos. However, it does not explicitly distinguish from sibling tools like np_camera_capture or sensor_fuse, which may also process visual data.

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 no guidance on when to use this tool versus alternatives. Among sibling tools (e.g., np_camera_capture, sensor_audio, sensor_fuse), there is no differentiation or context for selection.

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