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DC Hub — Data Center & Energy Intelligence

Feeder Hosting Capacity

get_hosting_capacity
Read-onlyIdempotent

Check utility-published feeder hosting capacity to determine if a site can draw a given MW load or export generation, with load vs gen separated by capacity_type.

Instructions

Utility-PUBLISHED feeder hosting capacity — the MW a NAMED distribution feeder can actually take, straight from the utility's own hosting-capacity GIS. 278,799 published records across 18 utilities (Con Edison, National Grid NY/MA, NYSEG/RG&E, Rhode Island Energy, Orange & Rockland, Central Hudson, Eversource CT, BGE, Pepco/Delmarva/ACE, Dominion VA, Ameren Illinois, AEP Ohio & I&M, Xcel MN/CO, DTE, Avista). This is filed distribution-level truth, not a proximity proxy. Three ways to call it: lat+lon (+radius_km, default 25) for a point; utility or market for a whole published territory; NO ARGS for the coverage list of every market that has data. CRITICAL — check capacity_type before quoting any number: "load" = LOAD-serving headroom, what a new data-center load can actually DRAW (only Ameren Illinois, AEP Ohio & I&M and Central Hudson publish it); "gen" = DER/generation EXPORT capacity, what the feeder can ACCEPT from solar/storage — it is NOT available load and must never be relayed as "you can site N MW here"; "bus_headroom" = transmission bus MW. Returns, split by capacity_type: distinct feeder count, max + median MW, the top feeders with substation, voltage_kv, feeder_id, coords and publish date, plus the utilities publishing them. Honest by construction — published rows are GIS vertices, so distinct_feeders and geometry_rows_scanned are reported separately (never conflated), and a capacity-capped read is flagged sample_complete=false with the capacity_floor_mw at or above which the set IS provably complete. Coverage is 18 utilities concentrated in the Northeast, Mid-Atlantic and Midwest — NOT nationwide — and a point outside them returns an explicit not-published answer with the nearest covered markets, never a silent zero. Answers "can this feeder actually take 20 MW", "where can I plug in without waiting on a substation upgrade". Try: get_hosting_capacity utility="Ameren Illinois" capacity_type=load min_mw=5. Do NOT use for transmission-substation proximity or time-to-power (use get_grid_intelligence), the ISO interconnection queue (use get_interconnection_queue / get_refined_queue), or retiring-plant headroom (use get_retirement_headroom) — this is the distribution FEEDER layer. Informational, not binding interconnection guidance; verify with the utility.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latNoLatitude of the point to search around, decimal degrees. Must be paired with lon.
lngNoAlias for lon — either name works
lonNoLongitude of the point to search around, decimal degrees. Must be paired with lat.
limitNoMax results to return (1-500; default varies by tool)
marketNoAlias for utility — either name works (e.g. "Northern Virginia · Richmond", "New York City · Westchester").
min_mwNoOnly return feeders whose published capacity is at or above this many MW.
utilityNoUtility or market name, case-insensitive substring — e.g. "Ameren Illinois", "Con Edison", "Providence". Searches that utility's whole published territory instead of a point radius. Call with NO arguments to list every covered utility.
latitudeNoAlias for lat — either name works
longitudeNoAlias for lon — either name works
radius_kmNoSearch radius in km around lat/lon (default 25, max 150). Ignored when utility/market is passed — that mode covers the utility's entire published extent.
capacity_typeNoRestrict to one published type: "load" (what a new data-center load can DRAW — the type that answers siting), "gen" (DER/generation EXPORT headroom — NOT available load), or "bus_headroom" (transmission bus MW). Omit to get all three reported separately.

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

A4.6/5.0
Behavior5/5

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

Annotations already mark the tool read-only, idempotent, and non-destructive, and the description adds substantial behavioral context: returned values are split by capacity_type, distinct_feeders vs geometry_rows_scanned are never conflated, sample_complete=false indicates a capped read, and out-of-coverage points return an explicit not-published answer rather than a silent zero. 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?

The description is front-loaded with the core purpose and critical capacity_type caveat, and nearly every sentence carries substantive information. However, it is very long and dense, enumerating 18 utilities and including extended examples and exclusions, which pushes the limits of conciseness even though the content is relevant.

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 tool's complexity, optional parameters, and output schema, the description is remarkably complete: it covers coverage geography, return structure, failure behavior, capacity_type interpretation, invocation modes, and sibling disambiguation. There is no critical context an agent would need that is absent.

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%, and each parameter is already well documented, so the baseline is 3. The description does reinforce the critical capacity_type semantics and call modes, but most of that meaning is already present in the input schema. It adds minimal new parameter-level detail beyond what the schema provides.

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 specific verb+resource: 'Utility-PUBLISHED feeder hosting capacity — the MW a NAMED distribution feeder can actually take.' It clearly distinguishes this tool as the distribution FEEDER layer and names what it is not, separating it from siblings like get_grid_intelligence and get_interconnection_queue.

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?

Usage guidance is explicit and actionable: it lists the three call modes (lat/lon, utility/market, no args), states the questions it answers, and explicitly says which sibling tools to use instead for transmission proximity, interconnection queues, and retirement headroom. This is far beyond a vague 'use for capacity questions.'

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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