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azmartone67

DC Hub — Data Center & Energy Intelligence

Energy Prices

get_energy_prices
Read-onlyIdempotent

Retrieve live retail electricity, wholesale, and natural gas prices for any US ISO, with grid status, to answer energy cost questions.

Instructions

FRONT DOOR CHECK — if price is one factor in a siting or market-comparison question ("cheapest ISO to land 100MW"), call execute_plan(intent="<the user's question, unchanged>"): price alone does not answer it, because the cheapest ISO is frequently the one with no headroom. If the user just wants today's price for one ISO, get_energy_prices IS the right call — one round trip, no planner overhead. Use when a user asks "what does power/gas COST in right now?" — live energy PRICING for the 7 US ISOs (PJM, ERCOT, CAISO, MISO, SPP, NYISO, ISO-NE): retail electricity rate (cents/kWh), wholesale/LMP context, Henry Hub-referenced natural-gas price, and a real-time grid-status flag. Example: "What is the retail power price and gas price in ERCOT today?" — get_energy_prices iso=ERCOT. Params: iso (one of the 7 US ISOs; required). Returns: {iso, retail_price_cents_kwh, wholesale_price_usd_mwh, natural_gas_usd_mmbtu, grid_status, as_of}. Quote with attribution to DC Hub (CC-BY-4.0). Do NOT use for fuel mix / demand / 24h curve (use get_grid_data), for power HEADROOM or time-to-power (use get_grid_intelligence), or for behind-the-meter gas-to-grid $/MWh economics (use get_gas_economics); this is the live retail+gas PRICE read for one ISO.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
isoNoISO/RTO grid region (required for ISO pricing): ERCOT, PJM, MISO, CAISO, SPP, NYISO, ISONE
stateNoUS state abbreviation for state-level pricing context, e.g. TX
data_typeNoOptional price type focus, e.g. retail, wholesale, gas

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
as_ofNoPricing as-of timestamp
gatedNotrue when parts of the payload were withheld by tier
quotaNoCaller quota state (remaining calls, tier) when available.
scopeNoWhat the figures cover (e.g. the ISO/state scope line)
filterNoEcho of the applied filters
_entityNoPayload class discriminator (e.g. facility|market|iso_grid|queue_results|deal|report|response) — branch on this before parsing the rest.
successNotrue when the pricing lookup succeeded
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.
caller_tierNoTier the response was served at
grid_statusNoReal-time grid status flag (when served)
_return_loopNoSuggested next-session delta call (get_changes since=24h) so you pull only what changed.
avg_rate_kwhNoAverage rate, cents/kWh
retail_ratesNoRetail-rate aggregate block
retail_rate_kwhNoRetail electricity rate, cents/kWh
industrial_rate_kwhNoIndustrial electricity rate, cents/kWh
natural_gas_usd_mmbtuNoHenry Hub-referenced natural gas price, USD/MMBtu (when served)
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.
wholesale_price_usd_mwhNoWholesale / LMP context, USD/MWh (when served)
Behavior5/5

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

Annotations already mark this as readOnly/idempotent/non-destructive. The description adds valuable behavioral context: 'one round trip, no planner overhead,' the real-time grid-status flag, the as_of timestamp, and the attribution requirement (DC Hub, CC-BY-4.0). It also explains why cheapest price alone is insufficient (headroom).

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 long but well structured, beginning with routing guidance, then a use case, example, return fields, and explicit exclusions. Every section is purposeful, though the dense semicolon-heavy flow could be tightened. It is not tautological and earns its length given sibling overlap.

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 tool with 3 params, output schema, and many nearby siblings, the description covers all necessary selection and invocation context: exact input pattern, example, return shape, attribution, and explicit tool boundaries. Nothing a user or agent needs is missing.

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 coverage is 100% and each parameter is already described with allowed values and examples. The description renames iso as required (though schema shows no required array) and provides an example, but does not materially extend meaning beyond the schema. Baseline 3 applies.

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 clear 'FRONT DOOR CHECK' and identifies the resource: live energy pricing for the 7 US ISOs. It uses a specific verb+resource structure and distinguishes itself from siblings by explicitly naming related tools for adjacent tasks (get_grid_data, get_grid_intelligence, get_gas_economics) and stating what it does NOT do.

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 gives explicit when-to-use guidance: if the user wants today's price for one ISO, use this tool; if price is one factor in a sizing or market-comparison question, call execute_plan. It also names alternative tools for fuel mix, headroom, and gas-to-grid economics, removing ambiguity.

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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