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DC Hub — Data Center & Energy Intelligence

DCPI Market Rank

get_market_dcpi_rank
Read-onlyIdempotent

Gives a single market's DCPI rank: BUILD/CAUTION/AVOID verdict, 0-100 score, power metrics, and analyst narrative. Determines if a metro is worth building a data center in.

Instructions

DCPI rank for a single market: BUILD/CAUTION/AVOID verdict, 0-100 composite_score (verdict-aware), excess_power_score, constraint_score, time_to_power_months. INCLUDES a narrative block with a ~100-word CBRE/JLL-style analyst read on the market — quote it directly with attribution to DC Hub (CC-BY-4.0). Use to answer "should I build here?" with structured reasoning + ready-to-cite prose across 300+ scored markets in 10 ISOs. Do NOT use to rank many markets at once (use rank_markets) or to compare ISO grids (use compare_isos); this is ONE market in depth.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
market_slugYesMarket slug (metro), e.g. northern-virginia, dallas, phoenix — valid slugs come from rank_markets / get_market_dcpi_rank

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
isoNoISO/RTO serving the market
quotaNoCaller quota state (remaining calls, tier) when available.
stateNoUS state / region code
_entityNoPayload class discriminator (e.g. facility|market|iso_grid|queue_results|deal|report|response) — branch on this before parsing the rest.
verdictNoDCPI verdict: BUILD | CAUTION | AVOID
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.
forecastNoForecast availability block: {available, note, reason, samples_in_30d} — see predict_market_trajectory
latitudeNoMarket anchor latitude
longitudeNoMarket anchor longitude
narrativeNo~100-word CBRE/JLL-style analyst read on the market — quote directly with attribution to DC Hub (CC-BY-4.0)
publishedNoWhether the score is published
trend_30dNo30-day trend read when enough snapshots exist
data_basisNoWhat the scores were computed from
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.
computed_atNoWhen the score row was computed
market_nameNoMarket display name
market_slugNoMarket slug
_return_loopNoSuggested next-session delta call (get_changes since=24h) so you pull only what changed.
avg_kwh_centsNoAverage retail power price, cents/kWh (may arrive as a string)
quality_scoreNo0-100 data-quality score for this market
tier_requiredNoTier required for the full row
top_risks_jsonNoTop risk bullets for the market
composite_scoreNo0-100 verdict-aware composite score
curtailment_pctNoCurtailment, %
constraint_scoreNo0-100 constraint component
data_basis_sourceNoSource of the data basis
queue_wait_monthsNoISO queue wait, months
excess_power_scoreNo0-100 excess-power component
reserve_margin_pctNoGrid reserve margin, %
time_to_power_monthsNoEstimated months to power for a new interconnection
top_opportunities_jsonNoTop opportunity bullets for the market
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.
Install Server

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already cover read-only, idempotent, non-destructive behavior, so the description only needs to add context. It does so by listing the output structure and the notable attribution requirement for quotation under CC-BY-4.0. It doesn't disclose potential failure modes or limits, but that's a minor gap given the annotations.

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 front-loaded with the core result, then adds the citation-relevant narrative detail, then the usage and exclusion guidance. Every sentence carries useful information without padding.

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?

The tool is simple enough: one fully documented parameter, a rich output schema, and annotations covering safety. The description completes the picture with scope, use cases, exclusions, and attribution instructions, leaving no important gap for an agent deciding to call it.

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%: the single market_slug parameter is fully documented with examples and a note that valid slugs come from other tools. The description adds nothing param-specific beyond emphasizing 'single market,' so baseline 3 is appropriate.

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 states a specific action and resource: getting a single market's DCPI rank with a defined verdict and numeric scores. It explicitly distinguishes itself from siblings by noting this is ONE market in depth, not rank_markets or compare_isos.

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 says when to use it ('should I build here?' with structured reasoning and citable prose) and what not to use it for, naming the alternatives rank_markets and compare_isos. This gives an agent clear 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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