sensor_visual

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

No annotations are provided, so the description carries full burden of behavioral disclosure. It only mentions encoding but does not reveal side effects, permissions, or whether it is read-only or mutating. This is a significant gap for a processing tool.

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 phrase, which is concise but lacks structure. It is front-loaded with the tool's identity but omits essential details, making it minimally acceptable.

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 (nested parameters, no output schema, many siblings), the description is incomplete. It does not explain the return format, the effect of the simulate parameter, or how image vs. video affects output.

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 100%, so the baseline is 3. The description adds minimal value by hinting 'Image/Video' which correlates with the videoFrames parameter, but does not explain the role of the input sub-parameters like simulate or source.

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)' indicates the tool performs visual encoding using a specific model, but the verb 'encoding' is somewhat vague and does not clearly state the action (e.g., 'encode an image or video'). It distinguishes from sibling sensor tools like sensor_audio but lacks specificity.

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. With many sibling sensor tools (e.g., sensor_fuse, sensor_process), explicit usage context or conditions are missing.

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