DC Hub — Data Center & Energy Intelligence

Get Composite Site Score

get_composite_site_score

Read-onlyIdempotent

Assess a site with a single 0-100 score based solely on validated power, fiber, hazard, and water data. Reveals coverage per factor and returns a BUILD/CAUTION/AVOID verdict without imputing missing values.

Instructions

Use when a user wants ONE honest 0-100 site suitability/risk verdict for a lat/lon WITH an explicit per-factor coverage map — which factors are actually measured vs. declared unavailable. Unlike analyze_site (full raw data dump), this scores ONLY over VALIDATED factors and never imputes a missing one: power/grid, fiber, natural-hazard risk (FEMA NRI) and water (live WRI Aqueduct 4.0 baseline water stress) are all live; water is "unavailable" only outside basin coverage (never faked); market/DCPI is v1-unavailable (use rank_markets). Example: get_composite_site_score lat=33.45 lon=-112.07 state=AZ. Returns {composite_score (0-100 over validated factors), verdict (BUILD/CAUTION/AVOID), confidence (complete|conditional), coverage {power_grid|fiber|water|risk_resilience|market_dcpi: validated|unavailable}, coverage_ratio, sub_scores, caveats}. Use analyze_site for full data, compare_sites for 2-4 sites, rank_markets for whole-market ranking.

Input Schema

TableJSON Schema

Name	Required	Description
`lat`	No	Site latitude in decimal degrees (-90 to 90, required), e.g. 33.45
`lng`	No	Alias for lon — either name works
`lon`	No	Site longitude in decimal degrees (-180 to 180, required), e.g. -112.07
`state`	No	US state abbreviation (optional) — improves water/context lookups, e.g. AZ
`latitude`	No	Alias for lat — either name works
`longitude`	No	Alias for lon — either name works

Output Schema

TableJSON Schema

Name	Required	Description
`quota`	No	Caller quota state (remaining calls, tier) when available.
`_entity`	No	Payload class discriminator (e.g. facility\|market\|iso_grid\|queue_results\|deal\|report\|response) — branch on this before parsing the rest.
`citation`	No	Machine-readable citation: how to attribute DC Hub (dchub.cloud) for this payload. Normally an OBJECT {source, url, license, cite_as, retrieved_at}; a bare string is accepted and carries the attribution line itself.
`provenance`	No	Collection-level provenance block: {source, method, as_of, verification_counts, cite_url_template, license, cite_as}. Quote the verification level when citing.
`_front_door`	No	In-band front-door hint (first workflow-entry tool of a session): call plan_query(intent) first for the ordered multi-step plan.
`_return_loop`	No	Suggested next-session delta call (get_changes since=24h) so you pull only what changed.
`site_evaluation_handoff`	No	Pre-built follow-up calls (analyze_site / get_water_risk args) when the payload carries coordinates — an array of {tool, parameters, why} entries.

Schema Changelog

Changes observed during successful MCP inspections.

Changed2 schema fields changedAug 30, 2026

removedInput schema / $schema

Removed value: -"http://json-schema.org/draft-07/schema#"

removedOutput schema / $schema

Removed value: -"http://json-schema.org/draft-07/schema#"

Changed5 schema fields changedv2.3.20Aug 14, 2026

removedOutput schema / properties / citation / additionalProperties
```
Removed value: -{}
```

addedOutput schema / properties / citation / anyOf

Added value: +[
+  {
+    "additionalProperties": {},
+    "properties": {},
+    "type": "object"
+  },
+  {
+    "type": "string"
+  }
+]

changedOutput schema / properties / citation / description

Previous value: -"Machine-readable citation: how to attribute DC Hub (dchub.cloud) for this payload."New value: +"Machine-readable citation: how to attribute DC Hub (dchub.cloud) for this payload. Normally an OBJECT {source, url, license, cite_as, retrieved_at}; a bare string is accepted and carries the attribution line itself."

removedOutput schema / properties / citation / properties
```
Removed value: -{}
```
removedOutput schema / properties / citation / type
```
Removed value: -"object"
```

Changed4 schema fields changedv2.3.12Jul 28, 2026

addedInput schema / properties / latitude

Added value: +{
+  "description": "Alias for lat — either name works",
+  "type": "number"
+}

addedInput schema / properties / lng

Added value: +{
+  "description": "Alias for lon — either name works",
+  "type": "number"
+}

addedInput schema / properties / longitude

Added value: +{
+  "description": "Alias for lon — either name works",
+  "type": "number"
+}

changedOutput schema / (root)

Previous value: -nullNew value: +{
+  "$schema": "http://json-schema.org/draft-07/schema#",
+  "additionalProperties": {},
+  "description": "DC Hub envelope: structuredContent mirrors the JSON payload in content[0].text — tool-specific data fields ride at the top level alongside these envelope keys.",
+  "properties": {
+    "_entity": {
+      "description": "Payload class discriminator (e.g. facility|market|iso_grid|queue_results|deal|report|response) — branch on this before parsing the rest.",
+      "type": "string"
+    },
+    "_front_door": {
+      "additionalProperties": {},
+      "description": "In-band front-door hint (first workflow-entry tool of a session): call plan_query(intent) first for the ordered multi-step plan.",
+      "properties": {},
+      "type": "object"
+    },
+    "_return_loop": {
+      "additionalProperties": {},
+      "description": "Suggested next-session delta call (get_changes since=24h) so you pull only what changed.",
+      "properties": {},
+      "type": "object"
+    },
+    "citation": {
+      "additionalProperties": {},
+      "description": "Machine-readable citation: how to attribute DC Hub (dchub.cloud) for this payload.",
+      "properties": {},
+      "type": "object"
+    },
+    "provenance": {
+      "additionalProperties": {},
+      "description": "Collection-level provenance block: {source, method, as_of, verification_counts, cite_url_template, license, cite_as}. Quote the verification level when citing.",
+      "properties": {},
+      "type": "object"
+    },
+    "quota": {
+      "additionalProperties": {},
+      "description": "Caller quota state (remaining calls, tier) when available.",
+      "properties": {},
+      "type": "object"
+    },
+    "site_evaluation_handoff": {
+      "anyOf": [
+        {
+          "items": {
+            "additionalProperties": {},
+            "properties": {},
+            "type": "object"
+          },
+          "type": "array"
+        },
+        {
+          "additionalProperties": {},
+          "properties": {},
+          "type": "object"
+        }
+      ],
+      "description": "Pre-built follow-up calls (analyze_site / get_water_risk args) when the payload carries coordinates — an array of {tool, parameters, why} entries."
+    }
+  },
+  "type": "object"
+}

Addedv2.3.8Jul 14, 2026

TDQS

A4.6/5.0

Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Beyond the read-only and idempotent annotations, the description discloses crucial behavior: it never imputes missing factors, water is 'unavailable' only outside basin coverage and never faked, market/DCPI is v1-unavailable, and the confidence field reflects complete vs. conditional scoring. This gives the agent honest expectations about data gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is dense but every clause carries information: use case, distinction from analyze_site, validated factors, data-unavailability rules, example, return shape, and sibling routing. It is front-loaded with the most important purpose, though the long parenthetical lists make it slightly harder to parse than an ideal definition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity, the description is remarkably complete: it explains when to use it, which factors are live, how missing data is handled, what the response contains, and how it compares to analyze_site, compare_sites, and rank_markets. The presence of an output schema means return values do not need further elaboration here.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema already provides 100% description coverage for all six parameters, so the baseline is 3. The description adds a concrete example call, but it does not introduce new parameter-level semantics beyond what the schema states.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb and resource: it 'scores' to produce a '0-100 site suitability/risk verdict' with an explicit per-factor coverage map. It immediately distinguishes itself from analyze_site by stating the key difference: this tool scores ONLY over validated factors and never imputes a missing one.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description opens with a clear 'Use when...' condition and closes with explicit routing: 'Use analyze_site for full data, compare_sites for 2-4 sites, rank_markets for whole-market ranking.' It also names rank_markets as the alternative for market/DCPI, which is currently unavailable here.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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