Low Risk

contact_search_unenriched

POST /v1/contact/search/unenriched. Find contacts without running email/phone enrichment. Returns a job_id; contacts are created in unconfirmed status with stable ids. BETA: requires the contact_search_unenriched flag on the account.

Risk signalsAccepts URL/endpoint input (webhook)

Part of the DataMerge MCP server.

contact_search_unenriched 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 contact_search_unenriched to retrieve information from DataMerge MCP 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 contact_search_unenriched 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": {
    "contact_search_unenriched": {}
  }
}

See the full DataMerge MCP policy for all 23 tools.

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These attack patterns abuse exactly the kind of access contact_search_unenriched 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 contact_search_unenriched 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 contact_search_unenriched tool do? +

POST /v1/contact/search/unenriched. Find contacts without running email/phone enrichment. Returns a job_id; contacts are created in unconfirmed status with stable ids. BETA: requires the contact_search_unenriched flag on the account.. It is categorised as a Read tool in the DataMerge MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on contact_search_unenriched? +

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

What risk level is contact_search_unenriched? +

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

Can I rate-limit contact_search_unenriched? +

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

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

contact_search_unenriched is provided by the DataMerge MCP server (https://mcp.datamerge.ai). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every DataMerge MCP tool call.

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

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