enrich_person

Enrich a person

Server Apollo Io MCP Server masridigital/apollo.io-mcp
Category Read
Risk class Low
Parameters 00 required

What enrich_person does on Apollo Io MCP Server

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

Why enrich_person needs a policy

Data enrichment in sales platforms like Apollo.io typically involves looking up and combining existing data about individuals from various sources to provide a more complete profile. This is fundamentally a retrieval operation with no side effects. While the description is minimal, the context of the Apollo.io platform (a B2B sales intelligence tool) and the tool name confirm this is a Read category operation.

From the tool's definition Tool name 'enrich_person' and description 'Enrich a person' indicates data enrichment—retrieving and aggregating additional information about a person (likely contact details, company info, or professional attributes) from Apollo.io's database.

Questions about enrich_person

What does the enrich_person tool do? +

Enrich a person. It is categorised as a Read tool in the Apollo Io MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on enrich_person? +

Register the Apollo Io MCP Server MCP server in PolicyLayer and add a rule for enrich_person: 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 Apollo Io MCP Server. Nothing to install.

What risk level is enrich_person? +

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

Can I rate-limit enrich_person? +

Yes. Add a rate_limit block to the enrich_person 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 enrich_person completely? +

Set action: deny in the PolicyLayer policy for enrich_person. 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 enrich_person? +

enrich_person is provided by the Apollo Io MCP Server MCP server (masridigital/apollo.io-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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