Single tool 'envpreflight_check' has a clear, descriptive name and good description (127 chars), but the input schema is minimal with only one parameter lacking detailed constraints. No output schema is documented, making it impossible for LLMs to understand what data structure is returned. No error handling guidance, no parameter validation rules, and no examples of what the tool returns. The tool is read-only (safe), but lacks the structured output documentation and parameter rigor expected of production tools.

• Document the complete output schema. Specify what fields are returned (e.g., checks: [{name, status, version, required, actual, error?}], summary: {passed, failed, warnings}). This enables LLMs to extract and reason about results.
• Add validation constraints to the 'path' parameter: describe whether it accepts absolute or relative paths, what happens if the path does not exist, and whether symlinks are followed.
• Add error handling guidance to the tool description: 'Returns an error if the path is invalid, inaccessible, or contains no recognized manifests. Suggest checking the path and file permissions.'
• Expand the tool description to explain what each check category does (e.g., 'Node: verifies package.json engines field matches installed version') so LLMs understand when to call this tool.
• Consider adding a 'checks_to_run' parameter (enum: ['all', 'node', 'python', 'go', 'rust', 'docker', 'services', 'ports', 'env']) to let agents focus on specific checks and reduce output noise.