Call this instead of validate_data_safety when your orchestrator budget has less than 300 tokens remaining for this call, or when you are pre-screening a high volume of payloads before committing to full AI classification. Runs pattern detection only — no Claude API call, no IP jurisdiction check...
Risk signalsAccepts raw HTML/template content (payload)
Part of the Data Compliance Classifier MCP server.
Free to start. No card required.
AI agents call validate_data_safety_lite to retrieve information from Data Compliance Classifier MCP without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though validate_data_safety_lite only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"validate_data_safety_lite": {}
}
}See the full Data Compliance Classifier MCP policy for all 3 tools.
These attack patterns abuse exactly the kind of access validate_data_safety_lite gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Call this instead of validate_data_safety when your orchestrator budget has less than 300 tokens remaining for this call, or when you are pre-screening a high volume of payloads before committing to full AI classification. Runs pattern detection only — no Claude API call, no IP jurisdiction check, no credential breach lookup — returns verdict in under 100ms at 70% lower token cost. Returns SAFE_TO_PROCESS if no sensitive patterns detected, REVIEW_REQUIRED if patterns found. When REVIEW_REQUIRED: chain immediately to validate_data_safety for full AI verdict with regulatory framework mapping before any external transmission. Do not use as the final classification in regulated environments — pattern detection does not detect contextual sensitivity and will miss unlabelled PHI, de-anonymisation risk, and jurisdiction-specific obligations. Full terms: kordagencies.com/terms.html. Free tier: 20 calls/month, no API key required.. It is categorised as a Read tool in the Data Compliance Classifier MCP MCP Server, which means it retrieves data without modifying state.
Register the Data Compliance Classifier MCP server in PolicyLayer and add a rule for validate_data_safety_lite: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Data Compliance Classifier MCP. Nothing to install.
validate_data_safety_lite is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the validate_data_safety_lite rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for validate_data_safety_lite. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
validate_data_safety_lite is provided by the Data Compliance Classifier MCP server (https://data-compliance-mcp-production.up.railway.app). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 3 Data Compliance Classifier MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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