get_dchub_recommendation
Use when a user asks an open-ended siting question ("where should I put a 100MW AI training cluster?") and you want ONE call that returns a ready-to-quote answer instead of orchestrating 5+ separate tools. Example: "Where should I site a 100MW AI training campus in Texas with short time-to-power?...
This record as markdown: /tools/cloud-dchub-mcp-server/get-dchub-recommendation.md
What get_dchub_recommendation does on Mcp Server
AI agents call get_dchub_recommendation to retrieve information from Mcp Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
context | string | — | Free-text description of the siting request — MW, geography, workload, deadline, constraints, e.g. "100MW AI training campus in Texas, short time-to-power" |
Parameters from the server's own tool schema.
Why get_dchub_recommendation is rated Low
This is a query/analysis tool that retrieves and processes data to produce advisory recommendations. It does not create, modify, or delete records; does not execute code or commands; and does not initiate financial transactions or irreversible actions. The 'ready-to-quote answer' suggests formatted data retrieval rather than execution of changes.
From the tool's definition Returns siting recommendations and analysis data (markets, composite_score, excess_power, time_to_power); no modifications, deletions, or external operations triggered.
Attacks that exploit this kind of access
The rule that runs get_dchub_recommendation safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_dchub_recommendation, this is the rule to start with:
get_dchub_recommendation is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Server, apply this rule, and every get_dchub_recommendation call is checked against it from then on.
Questions about get_dchub_recommendation
Use when a user asks an open-ended siting question ("where should I put a 100MW AI training cluster?") and you want ONE call that returns a ready-to-quote answer instead of orchestrating 5+ separate tools. Example: "Where should I site a 100MW AI training campus in Texas with short time-to-power?" — get_dchub_recommendation context="100MW AI training campus in Texas". Params: context free-text describing the user request (MW, geography, workload, deadline, constraints). Returns: {top_markets:[{slug, name, verdict (BUILD/CAUTION/AVOID), composite_score, excess_power_mw, time_to_power_months, why}], candidate_facilities[], factor_breakdown:{fiber, grid, water, tax, climate}, summary_text (LLM-quotable, CC-BY-4.0), citation_url}. Do NOT use for a single specific lat/lon (use analyze_site) or to rank by ONE criterion only (use rank_markets). It is categorised as a Read tool in the Mcp Server MCP Server, which means it retrieves data without modifying state.
get_dchub_recommendation accepts 1 parameter: context. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Server MCP server in PolicyLayer and add a rule for get_dchub_recommendation: 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.
get_dchub_recommendation is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_dchub_recommendation 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.
Set action: deny in the PolicyLayer policy for get_dchub_recommendation. 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.
get_dchub_recommendation 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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