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_...

SERVERMcp Server SOURCEhttps://dchub.cloud/mcp
Medium RISK CLASS
Category Write
Parameters 100 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/cloud-dchub-mcp-server/generate-site-analysis.md

What generate_site_analysis does on Mcp Server

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.

ParameterTypeRequiredDescription
lat number Site latitude in decimal degrees (-90 to 90, required), e.g. 37.694
lng number Alias for lon — either name works
lon number Site longitude in decimal degrees (-180 to 180, required), e.g. -88.65
latitude number Alias for lat — either name works
use_case string Optional workload descriptor to tailor the report, e.g. "AI training campus"
longitude number Alias for lon — either name works
capacity_mw number Target power load for the build in megawatts (MW), e.g. 150 (typical 50-500)
prepared_by string Your firm name that brands the report; defaults to DC Hub, e.g. "Martone Advisors"
prepared_for string Client name printed on the report cover, e.g. "TON Infrastructure"
latency_target string Optional metro to measure latency against; default = nearest real carrier hotel

Parameters from the server's own tool schema.

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 signalsHigh parameter count (10 properties)

Questions about generate_site_analysis

What does the generate_site_analysis tool do? +

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. It is categorised as a Write tool in the Mcp Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does generate_site_analysis accept? +

generate_site_analysis accepts 10 parameters: lat, lng, lon, latitude, use_case, longitude, capacity_mw, prepared_by, prepared_for, latency_target. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on generate_site_analysis? +

Register the Mcp Server MCP server in PolicyLayer and add a rule for generate_site_analysis: 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 Mcp Server. Nothing to install.

What risk level is generate_site_analysis? +

generate_site_analysis is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit generate_site_analysis? +

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

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

generate_site_analysis is provided by the Mcp Server MCP server (https://dchub.cloud/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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