Enrich a contact with professional data: email, LinkedIn profile, company details, tech stack, and social signals. e.g., name=Jane Smith, company=Acme Corp returns jane.smith@acme.com, LinkedIn URL, role, seniority, hiring signals. Use after search_prospects to get full details on one person; use...
AI agents call enrich_contact to retrieve information from Sales Prospector without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs data retrieval and aggregation operations only. It queries external data sources to gather publicly available professional information about a contact but produces no side effects—no data is created, modified, deleted, or executed. The blast radius of misuse is minimal: an attacker could enumerate contact information at scale, but cannot cause financial harm, execute code, or destroy data.
From the tool's definition Tool retrieves and returns professional data (email, LinkedIn profile, company details, tech stack, social signals) without creating, modifying, or deleting any information.
Attacks that exploit this kind of access
Enrich a contact with professional data: email, LinkedIn profile, company details, tech stack, and social signals. e.g., name=Jane Smith, company=Acme Corp returns jane.smith@acme.com, LinkedIn URL, role, seniority, hiring signals. Use after search_prospects to get full details on one person; use find_company_contacts to get multiple contacts at once. It is categorised as a Read tool in the Sales Prospector MCP Server, which means it retrieves data without modifying state.
Register the Sales Prospector MCP server in PolicyLayer and add a rule for enrich_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 Sales Prospector. Nothing to install.
enrich_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 enrich_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 enrich_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.
enrich_contact is provided by the Sales Prospector MCP server (josephtandle/apollo-mcp-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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