prism_contact
Prism Contact — find a person's likely work email from name + company domain, ranked by pattern frequency with live MX v Cost: $0.005–$0.05 USDC on Base per call.
This record as markdown: /tools/com-gocreativeai-enrich-prism/prism-contact.md
What prism_contact does on Prism — Data Enrichment for AI Agents
AI agents call prism_contact 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 prism_contact is rated Low
This tool retrieves contact information (email addresses) based on input parameters. It has no side effects: it does not create, modify, delete, or execute external operations—it only reads and returns data. While it does incur a financial cost per call ($0.005–$0.05 USDC), the cost is a metering mechanism, not the tool's primary function; the tool itself is purely informational.
From the tool's definition Tool description states it 'find[s] a person's likely work email from name + company domain' — a retrieval operation that queries and returns data without modifying anything.
Attacks that exploit this kind of access
The rule that runs prism_contact 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 prism_contact, this is the rule to start with:
prism_contact 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 prism_contact call is checked against it from then on.
Questions about prism_contact
Prism Contact — find a person's likely work email from name + company domain, ranked by pattern frequency with live MX v 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.
prism_contact 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 prism_contact: 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.
prism_contact 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 prism_contact 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 prism_contact. 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.
prism_contact 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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