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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states 'clear' and does not reveal what happens when no cube exists at the coordinate, whether the operation is permanent, if it affects neighboring cubes, or what the tool returns.

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 clear sentence with no filler or repetition. The action is front-loaded, making it easy to scan, though it may be too sparse for a tool with no annotations.

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?

For a mutation tool with no annotations, no output schema, and three required parameters, the description is incomplete for an agent. Missing context includes failure behavior for absent cubes, coordinate bounds, idempotency, and return value expectations.

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 0%, so the description must compensate by explaining the parameters. It only says 'at a coordinate', which weakly ties x, y, and z together, but it does not explain their meaning, ordering, ranges, or coordinate system beyond what their names imply.

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?

Describes a specific action (clear) on a specific resource (cube) identified by a coordinate, so an agent can tell this removes one cube. It is distinguishable from place_cube and get_cube by the action and singular target, though it does not explicitly differentiate from clear_mine or fill_box.

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 given on when to use this tool versus siblings like place_cube, fill_box, or clear_mine. There are no exclusions, prerequisites, or alternative conditions described.

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