Output quality control and validation for AI agents
Runtime quality validation for AI agent outputs. Detect hallucinations, enforce scope compliance, and score output quality — all via MCP. Score agent output against configurable criteria: length limits, required keywords, forbidden patterns, and factual claim density. Estimate hallucination likelihood. With source text, checks sentence-level grounding. Without source, flags outputs dense with…
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validate_outputNo description publishedThis tool published no description. Forge does not invent one.
check_hallucination_riskNo description publishedThis tool published no description. Forge does not invent one.
check_scope_complianceNo description publishedThis tool published no description. Forge does not invent one.
log_validationNo description publishedThis tool published no description. Forge does not invent one.
get_failure_patternsNo description publishedThis tool published no description. Forge does not invent one.
generate_quality_reportNo description publishedThis tool published no description. Forge does not invent one.
0 of 6 tools published a description.
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Runtime quality validation for AI agent outputs. Detect hallucinations, enforce scope compliance, and score output quality — all via MCP. Score agent output against configurable criteria: length limits, required keywords, forbidden patterns, and factual claim density. Estimate hallucination likelihood. With source text, checks sentence-level grounding. Without source, flags outputs dense with specific numbers, dates, and URLs. Validate output against a scope contract — allowed/forbidden topics,…
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