dcl_evaluate_pii
POST-ACTION PII Detection Scan ($0.02). Regex-based scan across 8 personal-data categories, with a Luhn checksum on card numbers to reduce false positives. Any finding results in NO_COMMIT.
This record as markdown: /tools/com-fronesislabs-dcl-trust-oracle/dcl-evaluate-pii.md
What dcl_evaluate_pii does on Dcl Trust Oracle
AI agents call dcl_evaluate_pii to retrieve information from Dcl Trust Oracle without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
agent_id | string | Yes | Identifier of the agent that produced the response. |
response | string | Yes | The text to scan for personal data: emails, phone numbers, national IDs, bank cards, IBANs, crypto addresses, IP addresses, passport numbers. |
Parameters from the server's own tool schema.
Why dcl_evaluate_pii is rated Low
Analyzes output for PII without modifying data or executing external operations.
From the tool's definition POST-ACTION PII Detection Scan, Regex-based scan, findings result in NO_COMMIT
Attacks that exploit this kind of access
The rule that runs dcl_evaluate_pii safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Dcl Trust Oracle, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For dcl_evaluate_pii, this is the rule to start with:
dcl_evaluate_pii is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Dcl Trust Oracle, apply this rule, and every dcl_evaluate_pii call is checked against it from then on.
Questions about dcl_evaluate_pii
POST-ACTION PII Detection Scan ($0.02). Regex-based scan across 8 personal-data categories, with a Luhn checksum on card numbers to reduce false positives. Any finding results in NO_COMMIT. It is categorised as a Read tool in the Dcl Trust Oracle MCP Server, which means it retrieves data without modifying state.
dcl_evaluate_pii accepts 2 parameters: agent_id, response. Required: agent_id, response. The full parameter table on this page comes from the server's own tool schema.
Register the Dcl Trust Oracle MCP server in PolicyLayer and add a rule for dcl_evaluate_pii: 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 Dcl Trust Oracle. Nothing to install.
dcl_evaluate_pii 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 dcl_evaluate_pii 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 dcl_evaluate_pii. 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.
dcl_evaluate_pii is provided by the Dcl Trust Oracle MCP server (https://mcp.fronesislabs.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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