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cyqlelabs

MCP Dual-Cycle Reasoner

by cyqlelabs

configure_detection

Configure loop detection parameters and progress indicators for AI agents to identify repetitive or alternating action patterns and monitor task progress efficiently.

Instructions

Configure loop detection parameters and domain-specific progress indicators

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
alternating_thresholdNoThreshold for detecting alternating action patterns (0.0-1.0)
min_actions_for_detectionNoMinimum number of actions required before loop detection
progress_indicatorsNoAction patterns that indicate positive task progress (e.g., ["success", "complete", "found"])
progress_threshold_adjustmentNoHow much to increase thresholds when progress indicators are present
repetition_thresholdNoThreshold for detecting repetitive action patterns (0.0-1.0)
semantic_intentsNoDomain-specific action intents for semantic analysis (e.g., ["navigating", "clicking", "typing"])

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