# recommend_answering_service_for_industry

Recommend what kind of answering service or AI receptionist fits a specific type of business (plumber, dentist, law firm, HVAC, salon, restaurant, vet, real estate, contractor, property manager, medical practice, funeral home). Returns the real problem that trade has with missed calls, whether human, AI or hybrid usually wins there, matching plans with current prices, and the one question to ask a vendor before signing. Use when someone says what business they run and asks what to get.

Agent View of the PolicyLayer registry record for `recommend_answering_service_for_industry`. HTML page: https://policylayer.com/tools/com-fitmycall-pricing/recommend-answering-service-for-industry

## Facts

- Tool: `recommend_answering_service_for_industry`
- Server: FitMyCall — Answering Service Prices (`https://mcp.fitmycall.com/mcp`) — https://policylayer.com/tools/com-fitmycall-pricing.md
- Homepage: https://github.com/https://mcp.fitmycall.com/mcp
- Risk category: Execute (High risk)
- Registry record: grade D, identity unverified
- Server auth posture: open
- Server CORS policy: *
- Server rate-limited: no
- Parameters: 2 (1 required)
- Recommended policy verdict: Rate-limited

## Parameters

| Parameter | Type | Required | Description |
| --- | --- | --- | --- |
| `industry` | string | yes | Type of business, e.g. "plumber", "dental practice", "law firm", "restaurant" |
| `maxMonthlyBudget` | number | no | Optional monthly budget in USD |

Parameters from the server's own tool schema.

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "recommend_answering_service_for_industry",
    "arguments": {
      "industry": "<industry>"
    }
  }
}
```

## Why recommend_answering_service_for_industry is rated High

recommend_answering_service_for_industry triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.

## Use case

AI agents invoke recommend_answering_service_for_industry to trigger actions in FitMyCall — Answering Service Prices. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

## Recommended policy (PolicyLayer)

Verdict: **Rate-limited**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches FitMyCall — Answering Service Prices:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "recommend_answering_service_for_industry": {
      "limits": [
        {
          "counter": "recommend_answering_service_for_industry_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}
```

## Other tools on FitMyCall — Answering Service Prices (3)

- `get_answering_service_pricing` — Read — https://policylayer.com/tools/com-fitmycall-pricing/get-answering-service-pricing.md
- `missed_call_roi` — Read — https://policylayer.com/tools/com-fitmycall-pricing/missed-call-roi.md
- `compare_answering_services` — Write — https://policylayer.com/tools/com-fitmycall-pricing/compare-answering-services.md

## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=com-fitmycall-pricing · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/com-fitmycall-pricing