score_facility
Use when a user wants an independent 0-100 grade for ONE existing facility across 7 dimensions — power, fiber, water, climate_risk, tax_environment, talent_pool, expansion. Example: "How does the CoreWeave Las Vegas site score, power-weighted?" — score_facility facility_id=<id> weighting=power_pr...
This record as markdown: /tools/cloud-dchub-mcp-server/score-facility.md
What score_facility does on Mcp Server
AI agents call score_facility 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 |
|---|---|---|---|
weighting | string | — | Scoring profile: "balanced" (default), "power_priority", "risk_priority", or "expansion_priority" |
facility_id | string | — | The facility id/slug to score (required), from a prior search_facilities result |
Parameters from the server's own tool schema.
Why score_facility is rated Low
This is a pure query/retrieval tool that grades an existing facility across predefined dimensions and returns analytical results. It has no side effects—it reads facility data and generates a comparative score. The weighting parameters only influence the calculation algorithm, not the underlying data. Low severity due to read-only nature and benign informational output.
From the tool's definition Tool 'score_facility' retrieves and returns scoring data: 'Returns: composite 0-100, tier_classification, peer comparison, and per-dimension detail.' No creation, modification, deletion, code execution, or financial transactions occur.
Attacks that exploit this kind of access
The rule that runs score_facility 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 score_facility, this is the rule to start with:
score_facility 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 score_facility call is checked against it from then on.
Questions about score_facility
Use when a user wants an independent 0-100 grade for ONE existing facility across 7 dimensions — power, fiber, water, climate_risk, tax_environment, talent_pool, expansion. Example: "How does the CoreWeave Las Vegas site score, power-weighted?" — score_facility facility_id=<id> weighting=power_priority. Params: facility_id or name (required); weighting one of "balanced" (default) | "power_priority" | "risk_priority" | "expansion_priority". Returns: composite 0-100, tier_classification, peer comparison, and per-dimension detail. Do NOT use for a raw lat/lon parcel (use analyze_site), to compare 2 or more sites (use compare_sites), or to find similar sites (use find_alternatives). It is categorised as a Read tool in the Mcp Server MCP Server, which means it retrieves data without modifying state.
score_facility accepts 2 parameters: weighting, facility_id. 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 score_facility: 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.
score_facility 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 score_facility 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 score_facility. 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.
score_facility 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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