# generate_site_analysis

Use when a user wants a SHAREABLE, branded multi-page Site Analysis PDF for ONE lat/lon (a powered-land parcel, a candidate campus) — the polished client deliverable, not just a score. Example: "Make the Site Analysis PDF for this Carrier Mills parcel, 150 MW, for TON Infrastructure." — generate_site_analysis lat=37.694 lon=-88.65 capacity_mw=150 prepared_for="TON Infrastructure" prepared_by="Martone Advisors". Params: lat (-90 to 90, required), lon (-180 to 180, required), capacity_mw (target load MW, e.g. 50-500), prepared_for (client name on the cover), prepared_by (your firm — brands the report; defaults to DC Hub), latency_target (optional metro override; default = nearest real carrier hotel). Returns: {survey:{verdict, power/transmission, gas, water, air-permitting, fiber carriers, latency-to-nearest-carrier-hotel, market, tax}, pdf_report_url}. pdf_report_url is a ready-to-open link to download the branded 5-page PDF — no login needed, valid ~7 days; hand it to your human. For just the numeric suitability score (no PDF), use analyze_site instead.

Agent View of the PolicyLayer registry record for `generate_site_analysis`. HTML page: https://policylayer.com/tools/cloud-dchub-mcp-server/generate-site-analysis

## Facts

- Tool: `generate_site_analysis`
- Server: Mcp Server (`https://dchub.cloud/mcp`) — https://policylayer.com/tools/cloud-dchub-mcp-server.md
- Homepage: https://github.com/azmartone67/dchub-mcp-server
- Risk category: Write (Medium risk)
- Registry record: grade F, identity unverified
- Server auth posture: open
- Server CORS policy: *
- Server rate-limited: no
- Parameters: 10
- Recommended policy verdict: Rate-limited

## Parameters

| Parameter | Type | Required | Description |
| --- | --- | --- | --- |
| `lat` | number | no | Site latitude in decimal degrees (-90 to 90, required), e.g. 37.694 |
| `lng` | number | no | Alias for lon — either name works |
| `lon` | number | no | Site longitude in decimal degrees (-180 to 180, required), e.g. -88.65 |
| `latitude` | number | no | Alias for lat — either name works |
| `use_case` | string | no | Optional workload descriptor to tailor the report, e.g. "AI training campus" |
| `longitude` | number | no | Alias for lon — either name works |
| `capacity_mw` | number | no | Target power load for the build in megawatts (MW), e.g. 150 (typical 50-500) |
| `prepared_by` | string | no | Your firm name that brands the report; defaults to DC Hub, e.g. "Martone Advisors" |
| `prepared_for` | string | no | Client name printed on the report cover, e.g. "TON Infrastructure" |
| `latency_target` | string | no | Optional metro to measure latency against; default = nearest real carrier hotel |

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": "generate_site_analysis",
    "arguments": {}
  }
}
```

## Why generate_site_analysis is rated Medium

An AI agent can call generate_site_analysis faster than any human can review: one bad instruction and it creates or modifies resources in Mcp Server by the hundred, each call as confident as the last.

Risk signals: High parameter count (10 properties)

## Use case

AI agents use generate_site_analysis to create or update resources in Mcp Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Server environment.

## Recommended policy (PolicyLayer)

Verdict: **Rate-limited**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches Mcp Server:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "generate_site_analysis": {
      "limits": [
        {
          "counter": "generate_site_analysis_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}
```

## Other tools on Mcp Server (78)

- `standing_intent` — Destructive — https://policylayer.com/tools/cloud-dchub-mcp-server/standing-intent.md
- `compare_sites` — Execute — https://policylayer.com/tools/cloud-dchub-mcp-server/compare-sites.md
- `rank_markets` — Execute — https://policylayer.com/tools/cloud-dchub-mcp-server/rank-markets.md
- `unlock_more_data` — Financial — https://policylayer.com/tools/cloud-dchub-mcp-server/unlock-more-data.md
- `ai_capacity_index` — Read — https://policylayer.com/tools/cloud-dchub-mcp-server/ai-capacity-index.md
- `analyze_parcel` — Read — https://policylayer.com/tools/cloud-dchub-mcp-server/analyze-parcel.md
- `analyze_site` — Read — https://policylayer.com/tools/cloud-dchub-mcp-server/analyze-site.md
- `cluster_sites_by_latency` — Read — https://policylayer.com/tools/cloud-dchub-mcp-server/cluster-sites-by-latency.md
- `compare_isos` — Read — https://policylayer.com/tools/cloud-dchub-mcp-server/compare-isos.md
- `deal_autopsy` — Read — https://policylayer.com/tools/cloud-dchub-mcp-server/deal-autopsy.md
- `discover_tools` — Read — https://policylayer.com/tools/cloud-dchub-mcp-server/discover-tools.md
- `export_dataset` — Read — https://policylayer.com/tools/cloud-dchub-mcp-server/export-dataset.md
- `fetch` — Read — https://policylayer.com/tools/cloud-dchub-mcp-server/fetch.md
- `find_alternatives` — Read — https://policylayer.com/tools/cloud-dchub-mcp-server/find-alternatives.md
- `get_agent_registry` — Read — https://policylayer.com/tools/cloud-dchub-mcp-server/get-agent-registry.md
- `get_backup_status` — Read — https://policylayer.com/tools/cloud-dchub-mcp-server/get-backup-status.md
- `get_changes` — Read — https://policylayer.com/tools/cloud-dchub-mcp-server/get-changes.md
- `get_climate_intel` — Read — https://policylayer.com/tools/cloud-dchub-mcp-server/get-climate-intel.md
- `get_composite_site_score` — Read — https://policylayer.com/tools/cloud-dchub-mcp-server/get-composite-site-score.md
- `get_dchub_recommendation` — Read — https://policylayer.com/tools/cloud-dchub-mcp-server/get-dchub-recommendation.md
- `get_disaster_risk` — Read — https://policylayer.com/tools/cloud-dchub-mcp-server/get-disaster-risk.md
- `get_energy_prices` — Read — https://policylayer.com/tools/cloud-dchub-mcp-server/get-energy-prices.md
- `get_facility` — Read — https://policylayer.com/tools/cloud-dchub-mcp-server/get-facility.md
- `get_facility_risk_delta` — Read — https://policylayer.com/tools/cloud-dchub-mcp-server/get-facility-risk-delta.md
- `get_fiber_intel` — Read — https://policylayer.com/tools/cloud-dchub-mcp-server/get-fiber-intel.md
- `get_fiber_readiness` — Read — https://policylayer.com/tools/cloud-dchub-mcp-server/get-fiber-readiness.md
- `get_gas_economics` — Read — https://policylayer.com/tools/cloud-dchub-mcp-server/get-gas-economics.md
- `get_gas_index` — Read — https://policylayer.com/tools/cloud-dchub-mcp-server/get-gas-index.md
- `get_gas_intelligence` — Read — https://policylayer.com/tools/cloud-dchub-mcp-server/get-gas-intelligence.md
- `get_global_power` — Read — https://policylayer.com/tools/cloud-dchub-mcp-server/get-global-power.md
- …and 48 more: https://policylayer.com/tools/cloud-dchub-mcp-server.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=cloud-dchub-mcp-server · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/cloud-dchub-mcp-server