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run_contact_search_unenriched

POST /v1/contact/search/unenriched/sync. Synchronous unenriched contact search — returns contacts inline (no polling). Requires the contact_search_unenriched beta flag. Limits: 10 domains and max_results_per_company ≤ 10. Response includes credits_consumed_total computed as 0.5 × len(contacts).

Part of the DataMerge MCP server.

run_contact_search_unenriched can trigger actions in DataMerge MCP, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke run_contact_search_unenriched to trigger processes or run actions in DataMerge MCP. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

run_contact_search_unenriched can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "run_contact_search_unenriched": {
      "limits": [
        {
          "counter": "run_contact_search_unenriched_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full DataMerge MCP policy for all 23 tools.

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View all 23 tools →

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

Browse the full MCP Attack Database →

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

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the run_contact_search_unenriched tool do? +

POST /v1/contact/search/unenriched/sync. Synchronous unenriched contact search — returns contacts inline (no polling). Requires the contact_search_unenriched beta flag. Limits: 10 domains and max_results_per_company ≤ 10. Response includes credits_consumed_total computed as 0.5 × len(contacts).. It is categorised as a Execute tool in the DataMerge MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on run_contact_search_unenriched? +

Register the DataMerge MCP server in PolicyLayer and add a rule for run_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 run_contact_search_unenriched? +

run_contact_search_unenriched is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit run_contact_search_unenriched? +

Yes. Add a rate_limit block to the run_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 run_contact_search_unenriched completely? +

Set action: deny in the PolicyLayer policy for run_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 run_contact_search_unenriched? +

run_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.

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