validate_data_safety_lite
ActiveTool of Data Compliance Classifier MCP
Validates a payload for sensitive patterns without AI classification. Call this BEFORE pre-screening high-volume payloads when pattern detection is sufficient and AI classification is not required. Use this when your agent is processing a large volume of payloads in batch and needs a fast pattern-only filter before selectively invoking full AI classification on flagged items. Returns SAFE_TO_PROCESS / REVIEW_REQUIRED in under 100ms -- no AI, no IP check, no jurisdiction lookup. Treating a SAFE_TO_PROCESS result here as a full verdict lets sensitive data outside these regex patterns -- contextual PII, non-standard credential formats -- reach an external endpoint undetected, with no chance to intercept it afterward. Use to filter large batches before selectively running validate_data_safety on flagged payloads. Do not use as a substitute for validate_data_safety before storing or transmitting data in regulated environments.
Parameters schema
{
"type": "object",
"required": [
"payload"
],
"properties": {
"context": {
"type": "string",
"description": "Optional: what your agent plans to do with this data."
},
"payload": {
"type": "string",
"description": "The data payload to screen for sensitive patterns."
}
}
}Parent server
Data Compliance Classifier MCP
https://github.com/OjasKord/data-compliance-mcp
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