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DC Hub — Data Center & Energy Intelligence

Get Power Pipeline

get_power_pipeline
Read-onlyIdempotent

Find planned and under-construction power generators by state, balancing authority, or status. Get MW, fuel type, and online dates to see when new capacity lands.

Instructions

Use when a user asks WHERE NEW POWER GENERATION is coming online (the forward supply pipeline) — e.g. "how much new generation is planned in Virginia / the Southeast / ERCOT, and when?". Planned, permitting, and under-construction generators NATIONWIDE from EIA-860M, INCLUDING non-ISO regions (TVA, Southern Co, Arizona PS, PacifiCorp, LADWP) that interconnection-queue feeds miss. Each generator has location (lat/lng), state, county, balancing authority, technology/fuel (solar photovoltaic, onshore wind, natural-gas combined cycle, batteries, nuclear), nameplate megawatts (MW), status (planned → under construction), and planned online month/year. Filter by state (2-letter, e.g. VA), ba (balancing-authority/ISO code, e.g. PJM, ERCO, SOCO, TVA), status (P/L/T=planned, U/V=under construction, TS=testing), or min_mw. Returns a summary (total planned MW, mix by technology + status) plus the largest projects. Answers "how much new generation is planned in Virginia and when does it land". Try: get_power_pipeline state=VA. Do NOT use for ALREADY-OPERATING capacity or grid headroom (use get_grid_intelligence / get_grid_data) or for data-center construction projects (use get_pipeline).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
baNoBalancing-authority / ISO code, e.g. PJM, ERCO, SOCO, TVA, AZPS
limitNoMax results to return (1-500; default varies by tool)
stateNoUS state abbreviation to filter generators, e.g. VA, TX
min_mwNoMinimum nameplate capacity filter in megawatts (MW)
statusNoGenerator status code: P/L/T (planned), U/V (under construction), TS (testing)

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.
Install Server

TDQS

A4.8/5.0
Behavior5/5

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

Annotations already mark this read-only/idempotent/non-destructive, and the description adds significant behavioral context beyond that: the EIA-860M data source, nationwide coverage including non-ISO regions, and status-code semantics. It also discloses what is returned (summary plus largest projects).

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 dense but front-loaded and every sentence contributes, including the Try example and negative guidance. It is longer than necessary for a simpler tool, but the added length is justified by the tool's breadth.

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 5 optional parameters, output schema, and annotation safety profile, nothing an agent needs to select and call this tool correctly is missing. It covers scope, filters, return shape, examples, and sibling routing.

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 parameters are already well documented. The description adds extra value with concrete examples (state=VA, ba=PJM/ERCO/SOCO/TVA/AZPS) and status-code mappings, pushing it beyond the baseline.

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 verb and resource: it returns the forward power-generation pipeline (planned/permitting/under-construction), with explicit example questions. It also differentiates itself from interconnection-queue feeds and sibling pipeline tools, so an agent can tell what it is not.

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?

It opens with exactly when to use it ('when a user asks WHERE NEW POWER GENERATION is coming online'), includes a working example query, and closes with explicit exclusions and alternatives (get_grid_intelligence/get_grid_data for operating capacity, get_pipeline for data-center construction).

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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