enrich_email
Work-email finder — person name + company domain → ranked email guesses by real-world frequency + live MX validation. Hu Cost: $0.005–$0.05 USDC on Base per call.
This record as markdown: /tools/com-gocreativeai-enrich-prism/enrich-email.md
What enrich_email does on Prism — Data Enrichment for AI Agents
AI agents call enrich_email to retrieve information from Prism — Data Enrichment for AI Agents 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 |
|---|---|---|---|
arg | string | Yes |
Parameters from the server's own tool schema.
Why enrich_email is rated Low
This tool retrieves and validates email information based on input parameters. It queries external data sources (MX validation) and returns ranked results, which is fundamentally a read operation. While it calls external APIs and has a financial cost (pay-per-call USDC), the financial aspect is incidental to the core function—the tool itself does not move money or commit financial obligations.
From the tool's definition Tool is described as an email finder that performs lookups and validation ("person name + company domain → ranked email guesses by real-world frequency + live MX validation"). Core actions are retrieval and validation, with no modification or deletion of data.
Attacks that exploit this kind of access
The rule that runs enrich_email safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Prism — Data Enrichment for AI Agents, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For enrich_email, this is the rule to start with:
enrich_email 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 Prism — Data Enrichment for AI Agents, apply this rule, and every enrich_email call is checked against it from then on.
Questions about enrich_email
Work-email finder — person name + company domain → ranked email guesses by real-world frequency + live MX validation. Hu Cost: $0.005–$0.05 USDC on Base per call. It is categorised as a Read tool in the Prism — Data Enrichment for AI Agents MCP Server, which means it retrieves data without modifying state.
enrich_email accepts 1 parameter: arg. Required: arg. The full parameter table on this page comes from the server's own tool schema.
Register the Prism — Data Enrichment for AI Agents MCP server in PolicyLayer and add a rule for enrich_email: 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 Prism — Data Enrichment for AI Agents. Nothing to install.
enrich_email 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 enrich_email 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 enrich_email. 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.
enrich_email is provided by the Prism — Data Enrichment for AI Agents MCP server (https://enrich.gocreativeai.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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