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A server that detects anomalies in log streams and identifies root causes of service failures
This MCP server has critical definition quality gaps. The single tool 'detect_anomalies' lacks proper schema documentation, has a generic description that doesn't explain when/why to use it, and the parameter descriptions are minimal. The source code shows only a mock implementation with no actual MCP framework integration visible. Tool naming is acceptable (verb-based), but parameter documentation is sparse and the output schema is completely undocumented. No error handling strategy is evident. This server appears to be a stub implementation rather than a production-ready MCP tool.
Detects anomalies in log streams and identifies root cause explanations and affected services
Output schema completely undocumented. The tool returns a dict with 'anomaly_detected', 'root_cause_explanation', 'affected_service' fields, but LLMs have no way to know what to expect. No return type specification visible.
Tool description is generic and lacks actionable context. 'Detects anomalies in log streams and identifies root cause explanations and affected services' does not explain WHEN to use this tool vs alternatives, what constitutes success, or how the LLM should interpret results. Baseline for A+ tools is 194 chars; this is ~115 chars but lacks specificity.
Parameter 'log_stream' description 'List of log entries to analyze' is too vague. No format specification: are these strings? JSON objects? What structure? How long? No constraints or examples of valid log formats.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 32 | 2026-07-28+ | v2 |
Parameter 'window_seconds' has a default (60) but no min/max bounds specified. What is the valid range? 1-3600? Can an LLM pass 999999? Unbounded numbers invite absurd values.
No error handling strategy visible. The mock implementation always returns success. Real implementation needs: What happens if log_stream is empty? If logs are malformed? If analysis times out? No guidance provided to LLMs on recovery.
No tool annotations (readOnlyHint, destructiveHint, idempotentHint) visible in schema. This tool appears to be READ_ONLY, but that hint is not encoded in the MCP tool definition where the LLM can see it.
Input schema lacks proper typing for array items. 'log_stream' is defined as type:array with description, but no 'items' property specifying what each array element is (string? object with structure?). JSON Schema is incomplete.