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DC Hub — Data Center & Energy Intelligence

Generate Site Analysis

generate_site_analysis
Read-onlyIdempotent

Turn any lat/lon into a shareable, branded Site Analysis PDF covering power, gas, water, fiber, permitting, market, tax, and latency for a client-ready deliverable.

Instructions

Use when a user wants a SHAREABLE, branded multi-page Site Analysis PDF for ONE lat/lon (a powered-land parcel, a candidate campus) — the polished client deliverable, not just a score. Example: "Make the Site Analysis PDF for this Carrier Mills parcel, 150 MW, for TON Infrastructure." — generate_site_analysis lat=37.694 lon=-88.65 capacity_mw=150 prepared_for="TON Infrastructure" prepared_by="Martone Advisors". Params: lat (-90 to 90, required), lon (-180 to 180, required), capacity_mw (target load MW, e.g. 50-500), prepared_for (client name on the cover), prepared_by (your firm — brands the report; defaults to DC Hub), latency_target (optional metro override; default = nearest real carrier hotel). Returns: {survey:{verdict, power/transmission, gas, water, air-permitting, fiber carriers, latency-to-nearest-carrier-hotel, market, tax}, pdf_report_url}. pdf_report_url is a ready-to-open link to download the branded 5-page PDF — no login needed, valid ~7 days; hand it to your human. For just the numeric suitability score (no PDF), use analyze_site instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latNoSite latitude in decimal degrees (-90 to 90, required), e.g. 37.694
lngNoAlias for lon — either name works
lonNoSite longitude in decimal degrees (-180 to 180, required), e.g. -88.65
latitudeNoAlias for lat — either name works
use_caseNoOptional workload descriptor to tailor the report, e.g. "AI training campus"
longitudeNoAlias for lon — either name works
capacity_mwNoTarget power load for the build in megawatts (MW), e.g. 150 (typical 50-500)
prepared_byNoYour firm name that brands the report; defaults to DC Hub, e.g. "Martone Advisors"
prepared_forNoClient name printed on the report cover, e.g. "TON Infrastructure"
latency_targetNoOptional metro to measure latency against; default = nearest real carrier hotel

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. Changed2 schema fields changed
    • removedInput schema / $schema
      Removed value: -"http://json-schema.org/draft-07/schema#"
    • removedOutput schema / $schema
      Removed value: -"http://json-schema.org/draft-07/schema#"
  2. Changed5 schema fields changedv2.3.20
    • removedOutput schema / properties / citation / additionalProperties
      Removed value: -{}
    • addedOutput schema / properties / citation / anyOf
      Added value: +[
      +  {
      +    "additionalProperties": {},
      +    "properties": {},
      +    "type": "object"
      +  },
      +  {
      +    "type": "string"
      +  }
      +]
    • changedOutput schema / properties / citation / description
      Previous value: -"Machine-readable citation: how to attribute DC Hub (dchub.cloud) for this payload."New value: +"Machine-readable citation: how to attribute DC Hub (dchub.cloud) for this payload. Normally an OBJECT {source, url, license, cite_as, retrieved_at}; a bare string is accepted and carries the attribution line itself."
    • removedOutput schema / properties / citation / properties
      Removed value: -{}
    • removedOutput schema / properties / citation / type
      Removed value: -"object"
  3. Changed4 schema fields changedv2.3.12
    • addedInput schema / properties / latitude
      Added value: +{
      +  "description": "Alias for lat — either name works",
      +  "type": "number"
      +}
    • addedInput schema / properties / lng
      Added value: +{
      +  "description": "Alias for lon — either name works",
      +  "type": "number"
      +}
    • addedInput schema / properties / longitude
      Added value: +{
      +  "description": "Alias for lon — either name works",
      +  "type": "number"
      +}
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "$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"
      +}
  4. Changed7 schema fields changedv2.3.6
    • addedInput schema / properties / capacity_mw / description
      Added value: +"Target power load for the build in megawatts (MW), e.g. 150 (typical 50-500)"
    • addedInput schema / properties / lat / description
      Added value: +"Site latitude in decimal degrees (-90 to 90, required), e.g. 37.694"
    • addedInput schema / properties / latency_target / description
      Added value: +"Optional metro to measure latency against; default = nearest real carrier hotel"
    • addedInput schema / properties / lon / description
      Added value: +"Site longitude in decimal degrees (-180 to 180, required), e.g. -88.65"
    • addedInput schema / properties / prepared_by / description
      Added value: +"Your firm name that brands the report; defaults to DC Hub, e.g. \"Martone Advisors\""
    • addedInput schema / properties / prepared_for / description
      Added value: +"Client name printed on the report cover, e.g. \"TON Infrastructure\""
    • addedInput schema / properties / use_case / description
      Added value: +"Optional workload descriptor to tailor the report, e.g. \"AI training campus\""
  5. Addedv2.3.4

TDQS

A4.8/5.0
Behavior5/5

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

Annotations already declare readOnly, idempotent, non-destructive, so the safety profile is covered. The description adds genuinely useful behavior beyond that: output is a ready-to-open PDF link valid ~7 days with no login, prepared_by defaults to DC Hub, latency_target defaults to nearest carrier hotel, and the survey fields are enumerated. No contradiction with annotations.

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?

Approximately 200 words for a 10-parameter PDF-generation tool, and every segment earns its keep: trigger, example, param summary, return shape, link behavior, sibling routing. Slightly long, but the density is high and the structure is logical, front-loading the purpose before the details.

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 complexity (10 params, PDF artifact, output schema), the description covers everything an agent needs to invoke correctly: correct trigger, worked example, defaults, required parameters, output structure, and operational caveats (7-day validity, no auth, hand to human). The only gap is the schema-vs-description required-params mismatch, which is a schema flaw rather than a description omission.

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 all 10 parameters are documented there; the description adds meaning on top: requiredness of lat/lon, range hints, the 50-500 MW typical window, and role semantics ('client name on the cover', 'brands the report', defaults for both prepared_by and latency_target). Minor caveat: description marks lat/lon as required while the schema list 0 required params.

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 names a specific verb-resource pair: generating a SHAREABLE, branded multi-page Site Analysis PDF for a single lat/lon. It explicitly distinguishes the deliverable from a bare score ('not just a score') and provides a concrete worked example invocation, so purpose can't be conflated with any sibling.

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?

Opens with 'Use when a user wants...' and closes with an explicit exclusion: 'For just the numeric suitability score (no PDF), use analyze_site instead.' This names the exact selection condition and the alternative tool, leaving nothing to inference.

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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