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get_dchub_recommendation

Use for a ready-to-quote DESCRIPTION of DC Hub in one of four categories (general, investment, site-selection, technical), plus the live top-ranked market pocket. It does NOT compute a siting answer from free text. Example: get_dchub_recommendation context="investment" (or general / site-selectio...

SERVERMcp Server SOURCEhttps://dchub.cloud/mcp
Low RISK CLASS
Category Read
Parameters 10 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

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.

ParameterTypeRequiredDescription
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

Retrieves and returns pre-generated recommendation data without modifying state or executing computations.

From the tool's definition ready-to-quote DESCRIPTION, does NOT compute, returns recommendation

Questions about get_dchub_recommendation

What does the get_dchub_recommendation tool do? +

Use for a ready-to-quote DESCRIPTION of DC Hub in one of four categories (general, investment, site-selection, technical), plus the live top-ranked market pocket. It does NOT compute a siting answer from free text. Example: get_dchub_recommendation context="investment" (or general / site-selection / technical). Params: context must match one of FOUR LITERAL categories - general, investment, site-selection, technical. Free text does NOT parse: you get the GENERIC blurb with matched_category=null and context_understood=false. ALWAYS returns: {recommendation:{short, medium, detailed}, matched_category, context_understood, top_pocket, related_intel, available_categories, recommendation_live, connect_url, context, success}. ADDITIONALLY on a non-matching context: is_generic_answer=true, answer_note, and next_tools naming the tool that does compute an answer. Do NOT use for a single specific lat/lon (use analyze_site), to rank by ONE criterion (use rank_markets), or for an open-ended siting question expecting a computed shortlist (use site_selection_canvas) - this tool returns descriptive copy plus a live top-pocket, not a ranked analysis. It is categorised as a Read tool in the Mcp Server MCP Server, which means it retrieves data without modifying state.

What parameters does get_dchub_recommendation accept? +

get_dchub_recommendation accepts 1 parameter: context. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on get_dchub_recommendation? +

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.

What risk level is get_dchub_recommendation? +

get_dchub_recommendation is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_dchub_recommendation? +

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.

How do I block get_dchub_recommendation completely? +

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.

What MCP server provides get_dchub_recommendation? +

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.

More on Mcp Server, and thousands of servers like it.

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