get_lidar_point_cloud

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

No annotations are provided, so the description carries the full burden. It only states the action ('Get point cloud data') without disclosing any behavioral traits such as side effects, permissions, rate limits, or data format. This is minimal transparency.

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 two sentences long, front-loads the purpose, and has no unnecessary information. Every word earns its place.

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?

The tool is simple (1 parameter, no required params, output schema exists). The description covers the purpose and the parameter. Since an output schema is provided (context indicates 'has output schema: true'), it is acceptable not to describe return values. Minor gap: no mention that the output is point cloud data, but that is implied.

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 input schema has no description for 'prim_path', but the tool description includes 'prim_path: Prim path of the lidar sensor.' which adds some meaning. However, it does not provide details like format, constraints, or examples, so it is adequate but not rich.

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 'Get point cloud data from a lidar sensor,' which is a specific verb ('Get') and resource ('point cloud data from lidar sensor'). It distinguishes itself from sibling tools like 'create_lidar' (creates a sensor) and 'capture_image' (captures image 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, nor does it mention any prerequisites or context. It simply states the action without any usage context.

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