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Coralogix MCP (Monitoring and Control Panel) for log analysis and service monitoring
The server has 4 tools with basic definitions, but significant quality gaps limit its production readiness. All tools have descriptions (positive), but parameter descriptions are minimal, schemas lack completeness, and error handling is generic. The tool names follow verb_noun convention (get_*), which is good. However, parameter typing is incomplete: 'service_name' is marked 'string|null' but lacks detailed constraints or validation guidance. Output schemas are not documented in the code, making it impossible for LLMs to plan downstream actions. Error handling returns generic error objects without actionable recovery guidance. The code shows basic exception catching but no structured error classification or user-fixable guidance. Compared to production baselines (average tool description 194 chars, 100% of A+ tools with param descriptions), this server falls short.
Analyze 2XX error logs from Coralogix with both API endpoint statistics and detailed error messages
Analyze 4XX error logs from Coralogix with both API endpoint statistics and detailed error messages
Analyze 5XX error logs from Coralogix with both API endpoint statistics and detailed error messages
Search logs for a specific string and return context around matches by service name if provided
Output schemas not documented. Tools return unstructured dicts with 'status', 'api_analysis', 'error_details' keys, but LLMs have no schema to understand field types or plan chaining. See get_2xx_logs returning {'status': 'success', 'api_analysis': ...} without field descriptions.
Parameter 'service_name' lacks detail. Marked optional (string|null) but no guidance on format, constraints, or examples. Description 'Optional service name to filter logs' is generic (33 chars, below 50-char minimum for clarity). LLMs cannot infer whether to pass a service ID, display name, or namespace.
Error handling is generic and non-actionable. All tools return {'status': 'error', 'message': str(e)} or {'status': 'error', 'message': 'Error fetching logs'} without recovery guidance. Per the pattern:recovery-guide baseline, errors should tell LLMs what to do next (e.g., 'Invalid service name. Try search_services() to find available services.').
Inferred effective spec: <=2025-11-25.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-22 | F | 49 | <=2025-11-25 | v2 |
| 2026-03-09 | F | 49 | - | v1 |
Parameter 'context_lines' (get_coralogix_logs_by_string) has a default but no min/max constraints documented. Default=100 is not validated against unbounded input; if an LLM passes 10000, performance could degrade.
No pagination or result limits declared. Tools return logs via 'api_analysis' but no indication of max items, total count, or next_cursor. Per pattern:paginated-result baseline, tools returning lists should document limits and pagination to avoid context window exhaustion.