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

No annotations provided. The description only says 'check' but doesn't specify return type (boolean? error?), error handling for missing keys, or whether it validates formatting of the text. Insufficient disclosure beyond basic purpose.

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?

Single sentence, no fluff, efficiently conveys the core action and requirement (non-empty values).

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?

While the tool is simple, the description omits output specification (e.g., returns boolean, list of missing keys, or throws error), which is important for an AI agent to know how to handle results. Adequate for basic understanding but incomplete.

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 description must compensate. It implies 'text' is .env content and 'required' is key list, but doesn't specify the expected format of the text (e.g., key=value lines, newline separation) or constraints on keys. Lacks detail.

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 the tool checks a .env text for required keys with non-empty values. It differentiates from siblings like env_parse (which parses) and env_diff (diffs).

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 on when to use this tool versus alternatives like env_parse or manual checking. No context on prerequisites or typical use cases.

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