Single tool 'deploy' has a clear verb-noun name and complete input schema with types and descriptions. However, the tool description is minimal (58 chars), lacks context on when to use it, and does not explain the destructive nature of deployments or prerequisites. Output schema is not documented, the response structure is hardcoded in the implementation but not declared to the LLM. Error handling returns generic text without recovery guidance. No tool annotations (destructiveHint) despite the tool's write risk. Parameter descriptions are adequate but lack format/constraint details (e.g., what constitutes a valid project ID, region format, or file path pattern).

• Expand tool description to 100 - 200 chars: 'Deploy files to a Google Cloud Run service. This is a destructive operation that updates the live service. Requires GCP authentication and an existing Cloud Run service. Use this to push code changes to production.'
• Add destructiveHint annotation to the deploy tool schema: `destructiveHint: true` to signal to LLMs that confirmation may be needed.
• Document the output schema explicitly. Define a response type with fields: `{ type: 'text', text: string }` and document what the text contains (service URL, deployment status, etc.).
• Enhance error handling with categorization and recovery hints. Example: 'Project not found: {project}. Verify the project ID exists in your GCP account. Call list_projects() to see available projects.' or 'Deployment timeout. This may indicate a build failure. Check Cloud Build logs in the GCP console.'
• Add enum constraints to region and project parameters. For region, list valid GCP regions (us-central1, europe-west1, etc.). For project, document the expected format (alphanumeric, 6 - 30 chars).

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry