Low Risk

email_finder

Find the most likely professional/work email address for a specific person at a domain on Hunter.io. Returns the email, a confidence score, position, and the number of corroborating sources. Example: email_finder({ domain: "stripe.com", first_name: "Patrick", last_name: "Collison" })

Part of the Hunter server.

email_finder is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call email_finder to retrieve information from Hunter without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though email_finder only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "email_finder": {}
  }
}

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These attack patterns abuse exactly the kind of access email_finder gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so email_finder only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the email_finder tool do? +

Find the most likely professional/work email address for a specific person at a domain on Hunter.io. Returns the email, a confidence score, position, and the number of corroborating sources. Example: email_finder({ domain: "stripe.com", first_name: "Patrick", last_name: "Collison" }). It is categorised as a Read tool in the Hunter MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on email_finder? +

Register the Hunter MCP server in PolicyLayer and add a rule for email_finder: 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 Hunter. Nothing to install.

What risk level is email_finder? +

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

Can I rate-limit email_finder? +

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

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

email_finder is provided by the Hunter MCP server (https://gateway.pipeworx.io/hunter/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Hunter tool call.

Deterministic rules across all 23 Hunter tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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