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DC Hub Intelligence

Rank Markets

rank_markets
Read-onlyIdempotent

Rank data-center markets by power cost, capacity, operators, growth, or AI readiness. Filter by region and minimum MW to find where to build or site new load.

Instructions

Use this whenever the user asks where to build, or which markets are best for power, capacity or growth. Call when the user wants a ranked list of data-center markets: top N by cheapest_power, most_capacity, most_operators, fastest_growing, best_overall, or ai_ready (where new AI load can land, per DCPI). Filter by region, min_capacity_mw. Returns ranked rows with score, MW and a slug for follow-ups; score is the sort value, not a 0-100 scale, and score_basis says what it is (ai_ready omits it and explains its composite in methodology). Keyless: a trimmed preview; a free key gets a few full lists a day. Ex: "Top 10 US markets, ai_ready."

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of markets to return, 1-50 (default 10)
fieldsNoReturn ONLY these row fields (array or comma string) — a token diet. The response envelope (citation, provenance, as_of, coverage, request_interpretation, the human relay line) is NEVER projected away; a projection narrows ROWS only.
regionNoRegion scope: "global", "us" (default), "canada", "eu", "apac", or "americas"
criteriaNoRanking criterion: "cheapest_power", "most_capacity", "most_operators", "fastest_growing", "best_overall" (default), or "ai_ready" (DCPI buildability — where new AI load can land, for AI-campus siting; region us/global)
projectionNoNamed field preset, cheaper to send than a field list: market_summary (ranking rows), siting_summary (site/point rows), identity_only (ids + names).
min_capacity_mwNoMinimum existing capacity filter in megawatts (MW), e.g. 100

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
quotaNoCaller quota state (remaining calls, tier) when available.
_entityNoPayload class discriminator (e.g. facility|market|iso_grid|queue_results|deal|report|response) — branch on this before parsing the rest.
citationNoMachine-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.
provenanceNoCollection-level provenance block: {source, method, as_of, verification_counts, cite_url_template, license, cite_as}. Quote the verification level when citing.
_front_doorNoIn-band front-door hint (first workflow-entry tool of a session): call plan_query(intent) first for the ordered multi-step plan.
_return_loopNoSuggested next-session delta call (get_changes since=24h) so you pull only what changed.
site_evaluation_handoffNoPre-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.

  1. Changed4 schema fields changed
    • removedInput schema / $schema
      Removed value: -"http://json-schema.org/draft-07/schema#"
    • addedInput schema / properties / fields
      Added value: +{
      +  "anyOf": [
      +    {
      +      "items": {
      +        "type": "string"
      +      },
      +      "type": "array"
      +    },
      +    {
      +      "type": "string"
      +    }
      +  ],
      +  "description": "Return ONLY these row fields (array or comma string) — a token diet. The response envelope (citation, provenance, as_of, coverage, request_interpretation, the human relay line) is NEVER projected away; a projection narrows ROWS only."
      +}
    • addedInput schema / properties / projection
      Added value: +{
      +  "description": "Named field preset, cheaper to send than a field list: market_summary (ranking rows), siting_summary (site/point rows), identity_only (ids + names).",
      +  "enum": [
      +    "siting_summary",
      +    "market_summary",
      +    "identity_only"
      +  ],
      +  "type": "string"
      +}
    • removedOutput schema / $schema
      Removed value: -"http://json-schema.org/draft-07/schema#"
  2. Changed5 schema fields changedv2.3.20
    • removedOutput schema / properties / citation / additionalProperties
      Removed value: -{}
    • addedOutput schema / properties / citation / anyOf
      Added value: +[
      +  {
      +    "additionalProperties": {},
      +    "properties": {},
      +    "type": "object"
      +  },
      +  {
      +    "type": "string"
      +  }
      +]
    • changedOutput schema / properties / citation / description
      Previous value: -"Machine-readable citation: how to attribute DC Hub (dchub.cloud) for this payload."New value: +"Machine-readable citation: how to attribute DC Hub (dchub.cloud) for this payload. Normally an OBJECT {source, url, license, cite_as, retrieved_at}; a bare string is accepted and carries the attribution line itself."
    • removedOutput schema / properties / citation / properties
      Removed value: -{}
    • removedOutput schema / properties / citation / type
      Removed value: -"object"
  3. Changed2 schema fields changedv2.3.12
    • changedInput schema / properties / criteria / description
      Previous value: -"Ranking criterion: \"cheapest_power\", \"most_capacity\", \"most_operators\", \"fastest_growing\", or \"best_overall\" (default)"New value: +"Ranking criterion: \"cheapest_power\", \"most_capacity\", \"most_operators\", \"fastest_growing\", \"best_overall\" (default), or \"ai_ready\" (DCPI buildability — where new AI load can land, for AI-campus siting; region us/global)"
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "$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"
      +}
  4. Changed6 schema fields changedv2.3.6
    • addedInput schema / properties / criteria / description
      Added value: +"Ranking criterion: \"cheapest_power\", \"most_capacity\", \"most_operators\", \"fastest_growing\", or \"best_overall\" (default)"
    • addedInput schema / properties / limit / description
      Added value: +"Number of markets to return, 1-50 (default 10)"
    • changedInput schema / properties / limit / maximum
      Previous value: -9007199254740991New value: +500
    • changedInput schema / properties / limit / minimum
      Previous value: --9007199254740991New value: +1
    • addedInput schema / properties / min_capacity_mw / description
      Added value: +"Minimum existing capacity filter in megawatts (MW), e.g. 100"
    • addedInput schema / properties / region / description
      Added value: +"Region scope: \"global\", \"us\" (default), \"canada\", \"eu\", \"apac\", or \"americas\""
  5. First observedv2.1.19

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive, and the description goes beyond them by disclosing auth/quota behavior (keyless trimmed preview vs a free key getting a few full lists a day) and non-obvious output semantics (score is the sort value, not 0-100; score_basis identifies it; ai_ready explains its composite in methodology). It does not discuss error behavior or what a trimmed preview actually omits, keeping it at 4.

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?

Front-loaded with the trigger condition, then criteria, filters, and caveats, with an example at the end. Dense but every clause carries information; the score/score_basis/methodology sentence is slightly tangled and could be tightened.

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?

For a read-only ranking tool with a full schema, an output schema, and complete annotations, the description supplies the remaining missing pieces: when to invoke, the criterion vocabulary, tier/quota behavior, and how to interpret score. An agent can call it correctly without further inference.

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

Parameters4/5

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

Schema coverage is 100%, so the 3 baseline applies, but the description adds real meaning: the enumerated criteria are framed as ranking intents, and the note that ai_ready is only valid for region us/global is a constraint not stated in the schema. The criteria-to-region interaction is the kind of semantics the schema alone doesn't convey.

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?

States a specific verb and resource (ranked list of data-center markets) plus the exact scope: top N by cheapest_power, most_capacity, most_operators, fastest_growing, best_overall, or ai_ready. This clearly separates it from siblings like rank_sites (sites, not markets) and get_market_dcpi_rank (single market).

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

Usage Guidelines4/5

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

"Use this whenever the user asks where to build, or which markets are best for power, capacity or growth" gives a concrete triggering condition, and the criteria enumeration plus region/min_capacity_mw filters show how to narrow. It never names or excludes an alternative sibling tool, so it stops short of the 5-level routing guidance.

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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