enrich_people
Verified work-email + direct-phone + LinkedIn from a name + company domain (e.g. 'Patrick Collison stripe.com') via a mu Cost: $0.005–$0.05 USDC on Base per call.
This record as markdown: /tools/com-gocreativeai-enrich-prism/enrich-people.md
What enrich_people does on Prism — Data Enrichment for AI Agents
AI agents call enrich_people 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_people is rated Low
Even though enrich_people only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs enrich_people 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_people, this is the rule to start with:
enrich_people 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_people call is checked against it from then on.
Questions about enrich_people
Verified work-email + direct-phone + LinkedIn from a name + company domain (e.g. 'Patrick Collison stripe.com') via a mu 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_people 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_people: 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_people 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_people 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_people. 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_people 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.
More on Prism — Data Enrichment for AI Agents, and thousands of servers like it.
Across the catalogue