LambdaDeployer has 7 tools with basic schemas and descriptions, but significant gaps prevent production use. However, descriptions lack context on WHEN to use each tool, prerequisites, and recovery guidance. Parameter descriptions are minimal. Output schemas are not documented, responses are JSON strings without field-level guidance. Error handling returns raw error messages without actionable recovery steps. No tool annotations (readOnlyHint/destructiveHint). The deploy tool accepts base64-encoded code but lacks validation guidance. deleteFunction is destructive but has no confirmation pattern. Overall: functional but below production baseline.

• Expand all tool descriptions to 100-200 chars. Include WHAT the tool does, WHEN to use it (vs similar tools), and any prerequisites. E.g., 'Deploy a new Lambda function. Use this to create a function from scratch; use updateCode to change code of an existing function. Requires a valid IAM role ARN.'
• Document output schemas explicitly. Return structured objects with typed fields instead of JSON strings. E.g., deploy should return {functionArn: string, functionName: string, runtime: string, handler: string, state: string, lastModified: string, version: string}.
• Add tool annotations: mark deploy, updateConfig, updateCode, invoke with destructiveHint=true; mark getConfig, listFunctions with readOnlyHint=true; mark all with idempotentHint=false (they are not idempotent on retry).
• Implement confirmation pattern for deleteFunction. Add a dry_run parameter or require explicit confirmation before deletion. Return 'Function deletion would remove: [details]. Call deleteFunction with confirm=true to proceed.'
• Enhance error messages with recovery guidance. Instead of 'Error deploying function: ...', return 'Deployment failed: [reason]. Verify IAM role ARN exists and has Lambda permissions. Retry with corrected config.' Use error classification (retryable vs user-fixable).