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

No annotations are provided, so the description carries the full burden. 'Report' implies a side-effect-free read, and the description usefully defines what 'active environment' means, but it never states that this is read-only, cheap, or side-effect free, nor what the response contains (name, id, host?).

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?

A single, front-loaded sentence with no filler. The core assertion (which computer) comes first and the clarifying parenthetical is brief.

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 zero-parameter getter with no output schema, the description does cover the essential question of what the return value represents. It could be slightly stronger by noting the return shape or that the active environment can change via wake_environment/sleep_environment, but nothing critical to calling it correctly is absent.

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 tool takes zero parameters, so there is nothing for the description to disambiguate; baseline 4 applies. No parameter-level explanation is needed or missing.

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?

States a specific verb (report) and a precise resource (which computer the machine tools operate on), and grounds it by naming sibling tools (run_command, read_file). It is clear this returns the current/active target rather than a listing. It does not explicitly distinguish itself from get_environment_info or list_environments, which are the closest siblings.

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?

Usage is implied: an agent would call this to learn which machine its run_command/read_file calls will hit. There is no explicit when-to-use or when-not-to-use guidance and no named alternative for related questions (e.g., listing all environments vs. the active one), leaving the routing decision to inference.

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