DC Hub — Data Center & Energy Intelligence

AI Capacity Index

ai_capacity_index

Read-onlyIdempotent

Rank data center markets by where 100MW of AI training capacity can deploy in 30/60/90 days. Return top markets with operator counts, power density, cooling signals, and composite scores for capex and GPU siting decisions.

Instructions

AI Compute Capacity Index — ranks data center markets by where 100MW of AI training capacity can land in the next 30/60/90 days. Returns top markets with facility_count, operator_count, deployable_mw estimate (megawatts), hyperscale_ready flag, rack power density and cooling-type signals where facility data carries them, and composite score (depth + diversity + power). Refreshed Fridays 14:00 UTC. Use for AI capex planning, GPU cluster siting, hyperscaler deal forecasting. Do NOT use for a general best-markets ranking (use rank_markets) or forward grid-emergence (use grid_transition_radar).

Input Schema

TableJSON Schema

Name	Required	Description	Default
`limit`	No	Number of top markets to return (default 20)
`horizon`	No	Deployment horizon in days: 30, 60, or 90 (default 90)

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"
```

Changed1 schema field changedv2.3.12Jul 28, 2026

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"
+}

Changed6 schema fields changedv2.3.6Jul 2, 2026
- addedInput schema / properties / horizon / description
```
Added value: +"Deployment horizon in days: 30, 60, or 90 (default 90)"
```
- changedInput schema / properties / horizon / maximum
```
Previous value: -9007199254740991New value: +90
```
- changedInput schema / properties / horizon / minimum
```
Previous value: --9007199254740991New value: +30
```
- addedInput schema / properties / limit / description
```
Added value: +"Number of top markets to return (default 20)"
```
- changedInput schema / properties / limit / maximum
```
Previous value: -9007199254740991New value: +500
```
- changedInput schema / properties / limit / minimum
```
Previous value: --9007199254740991New value: +1
```
First observedv2.1.19Jun 8, 2026

TDQS

A4.5/5.0

Behavior4/5

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

Annotations already cover readOnlyHint, idempotentHint, and destructiveHint, and the description adds useful behavioral context beyond those: the refresh cadence ('Refreshed Fridays 14:00 UTC'), the ranking logic ('composite score (depth + diversity + power)'), and the caveat that cooling-type signals appear only 'where facility data carries them.' This meaningfully supplements the annotation metadata.

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

Conciseness5/5

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

The description is three sentences with no wasted words. It front-loads the core ranking behavior, then lists what is returned, then covers usage boundaries. Every sentence contributes either to selection, invocation, or differentiation.

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 has an output schema, the description does not need to enumerate return types exhaustively, but it still summarizes the key output fields and scoring rationale. It also provides refresh timing, use cases, and explicit sibling exclusions, making it fully self-sufficient for correct tool selection and invocation.

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?

Schema description coverage is 100% for both parameters, so the baseline is 3. The description reinforces the horizon concept ('next 30/60/90 days') and adds business context for why the parameter matters, but it does not provide additional parameter-level syntax or format details beyond what the schema already documents.

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 opens with a specific verb and resource: 'ranks data center markets by where 100MW of AI training capacity can land in the next 30/60/90 days.' It clearly separates this from sibling tools by naming rank_markets and grid_transition_radar as alternatives, so an agent can identify the correct tool without inspecting its schema.

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 explicitly states recommended use cases ('AI capex planning, GPU cluster siting, hyperscaler deal forecasting') and gives direct exclusion guidance: 'Do NOT use for a general best-markets ranking (use rank_markets) or forward grid-emergence (use grid_transition_radar).' This gives the agent both positive and negative selection criteria.

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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