MCP server for Azure resource management with dual-transport architecture supporting both stdio and HTTP. Enables deployment and management of Azure Virtual Machines and services.
Server has 2 tools with explicit schemas and descriptions visible in source. deploy_vm has a complete input schema with 7 parameters, all typed and described. restart_service has a complete input schema with 4 parameters, all typed and described. However, there are significant gaps: (1) No output schemas documented for either tool, the functions return plain strings, not structured objects. This violates pattern:tool and makes it impossible for LLMs to plan downstream calls or extract structured data. (2) No error handling strategy documented, no guidance on retryability, user-fixable vs fatal errors, or recovery paths. (3) No tool annotations (destructiveHint, idempotentHint, readOnlyHint) despite deploy_vm being explicitly irreversible and restart_service being reversible. (4) Descriptions are adequate but generic, deploy_vm's description (65 chars) explains WHAT but not WHEN to use it relative to other VMs or alternatives. (5) Admin password parameter accepts free-form strings; the constraint '(min 12 chars, must include uppercase, lowercase, number, special char)' is only in the description text, not enforced via regex pattern or enum. LLMs cannot reliably read prose constraints. (6) No pagination or result limits documented, though these are single-resource operations so less critical. (7) Credentials are hardcoded in the class initialization, environment variables are read (load_dotenv), but the server does not validate or document scope/permissions required.
Deploy a new Azure Virtual Machine with networking
Restart a service inside an Azure VM (like Tomcat, SQL Server, IIS, nginx, etc.)
No output schemas documented. Both tools return plain strings (e.g. 'return Deployment result message' and implicit string return). LLMs cannot infer structured fields, downstream tool chaining is broken, and context is lost. Every response should declare a schema: {status: string, vm_id?: string, public_ip?: string, deployment_url?: string} for deploy_vm, {status: string, service_status?: string, restart_time?: string} for restart_service.
No error handling guidance or recovery patterns. Functions return bare error strings like 'Error: Azure credentials not initialized' but do not classify errors as retryable, user-fixable, or fatal. LLMs do not know whether to retry, ask the user, or abort. Add error classification and actionable next steps (e.g. 'Credentials not initialized. Check AZURE_TENANT_ID, AZURE_CLIENT_ID, AZURE_CLIENT_SECRET, AZURE_SUBSCRIPTION_ID env vars.').
Inferred effective spec: <=2025-11-25.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-22 | F | 49 | <=2025-11-25 | v2 |
Missing tool annotations despite explicit risk levels. deploy_vm is marked IRREVERSIBLE but lacks @app.tool(destructiveHint=True) annotation. restart_service is marked REVERSIBLE but lacks @app.tool(idempotentHint=True) annotation. These annotations are part of the current MCP spec and guide LLM decision-making on confirmation/retry strategies.
Password constraint is prose-only, not machine-enforced. admin_password parameter description states '(min 12 chars, must include uppercase, lowercase, number, special char)' but there is no regex pattern in the schema and no runtime validation before calling Azure API. When validation fails at the API boundary, the error message is opaque. Add pattern: '^(?=.*[a-z])(?=.*[A-Z])(?=.*\d)(?=.*[@$!%*?&])[A-Za-z\d@$!%*?&]{12,}$' to the schema.
location and os_type parameters accept defaults but lack strict enums. location defaults to 'eastus' with a hint '(e.g., eastus, westus2, centralindia)', but these are examples, not an exhaustive list. LLMs may pass invalid regions like 'east-us' or 'Eastern US'. os_type defaults to 'linux' with validation only in the function body ('if os_type not in [...]'). Add enum constraints to schema to make valid values machine-discoverable.
No idempotency guarantees. deploy_vm calls 'begin_create_or_update' which is idempotent server-side, but the tool offers no deduplication key or idempotency token. If an LLM retries on a timeout before receiving the result, two VMs may be created. Document idempotency behavior or implement client-side deduplication.
No confirmation or dry-run mode for irreversible operations. deploy_vm creates real cloud resources but offers no preview, confirmation step, or rollback. The pattern:confirmation-request pattern recommends a dry-run or explicit confirmation flag for destructive tools. Add a 'dry_run' parameter (default False) that returns the generated configuration without deploying.
Unclear when to use restart_service vs other approaches. The description states 'Restart a service inside an Azure VM' but does not explain when to call this vs restarting the entire VM, or how it differs from other recovery methods. Add context: 'Use this when a service is hung but the VM itself is healthy. To restart the entire VM, use [tool name]. To check service status first, use [tool name].'