toolbox of mcp servers for enhancing agent capabilities
The server defines 6 tools across two domains (Kubernetes and weather). Tool naming follows verb-noun convention (list_*, get_*) and is clear. Descriptions are present and adequately detailed. Input schemas are explicit with type and description for all parameters. However, output schemas are documented only implicitly via code (JSON responses) rather than as formal schema definitions in tool registration. Error handling is minimal, most tools return raw API exceptions rather than actionable recovery guidance. The k8s tools include helpful annotations (idempotent, destructive, read_only) but the weather tools lack these. Output is structured but verbose in places (list_pods includes metadata that could be stripped). Parameter naming is consistent and uses type suffixes where appropriate (e.g., label_selector, field_selector, all_namespaces). Overall, the server meets baseline quality standards for tool definition but falls short of A-grade production patterns in error handling and output optimization.
Get weather alerts for a US state.
Get weather forecast for a location.
Get status and info for all nodes in the cluster
Get detailed info about a pod including conditions, container states, resources, and recent events
List all namespaces in the cluster
List pods in a namespace with their status and restart counts
Output schemas not formally documented. Tools return JSON strings but no schema definitions are provided in tool registration for what fields LLMs should expect in responses. This forces LLMs to guess at response structure for downstream tool chaining.
Minimal error handling. Tools return raw ApiException tracebacks instead of actionable recovery guidance. E.g., if a pod is not found, the LLM receives a 404 with no suggestion to list_pods or retry with a different namespace. Errors should classify as retryable/user-fixable/fatal and guide recovery.
Weather tools lack tool annotations. get_alerts and get_forecast do not declare idempotent/destructive/read_only hints, whereas k8s tools correctly include these. Annotations help agents understand tool semantics without reading descriptions.
Inferred effective spec: <=2025-11-25.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-22 | C | 62 | <=2025-11-25 | v2 |
| 2026-03-09 | F | 0 | - | v1 |
list_pods returns verbose metadata (managedFields, last-applied-configuration stripped in code but still present in response structure). Response includes 'metadata.continue' and 'metadata.remaining_count' which are pagination internals. Consider stripping these or returning only essential fields (name, status, ready, restarts, node, age).
Weather tools lack parameter descriptions for enum/constraint values. get_alerts requires a two-letter state code but does not specify which states are valid or how to handle invalid input. get_forecast accepts latitude/longitude but does not document valid ranges.
Tool descriptions for get_alerts and get_forecast are generic and lack WHEN/WHY guidance. 'Get weather alerts for a US state' does not explain when to call this vs get_forecast, or what structure the response has. Descriptions should be 50-200 characters and answer: what, when, what returns.