bulk_person_enrich

Enrich multiple person profiles in a single request

Server People Data Labs MCP Server phxdev1/peopledatalabs-mcp
Category Read
Risk class Low
Parameters 00 required

What bulk_person_enrich does on People Data Labs MCP Server

AI agents call bulk_person_enrich to retrieve information from People Data Labs MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why bulk_person_enrich needs a policy

This tool retrieves and augments person profile data from People Data Labs' database without modifying or deleting any data. The bulk variant processes multiple profiles but remains a read operation. Severity is medium because bulk enrichment could expose sensitive personal information (PII) at scale if an agent misuses the tool with sensitive search criteria, but the tool itself performs no irreversible actions.

From the tool's definition Tool name 'bulk_person_enrich' and description 'Enrich multiple person profiles in a single request' indicate data retrieval and enrichment operations.

Questions about bulk_person_enrich

What does the bulk_person_enrich tool do? +

Enrich multiple person profiles in a single request. It is categorised as a Read tool in the People Data Labs MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on bulk_person_enrich? +

Register the People Data Labs MCP Server MCP server in PolicyLayer and add a rule for bulk_person_enrich: 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 People Data Labs MCP Server. Nothing to install.

What risk level is bulk_person_enrich? +

bulk_person_enrich is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit bulk_person_enrich? +

Yes. Add a rate_limit block to the bulk_person_enrich 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.

How do I block bulk_person_enrich completely? +

Set action: deny in the PolicyLayer policy for bulk_person_enrich. 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.

What MCP server provides bulk_person_enrich? +

bulk_person_enrich is provided by the People Data Labs MCP Server MCP server (phxdev1/peopledatalabs-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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