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DC Hub — Data Center Site Selection & Colocation: Electricity, Power Grid, Gas, Fiber

Get Infra Projects

get_infra_projects
Read-onlyIdempotent

Use when a user asks what GAS PIPELINE or TRANSMISSION LINE PROJECTS are planned, proposed, approved or under construction — the forward build-out, not the existing network. e.g. "which interstate gas pipelines are under construction into Louisiana?", "what 345 kV transmission projects does ERCOT plan by 2028?", "what new projects appeared since last month?". COVERS: (1) natural gas pipeline projects US-wide from the EIA natural gas pipeline projects list (public domain) — operator, status (Announced, Pre-applied, Applied, Approved, Construction, On Hold, Completed), states crossed, capacity in MMcf/d, miles, cost in $M, diameter, FERC/state docket, in-service year; (2) transmission projects from ERCOT's Transmission Project and Information Tracking list (TPIT) — ERCOT/TEXAS ONLY so far, no other ISO or utility — owner, from/to substation, county, kV, new and rebuilt miles, MVA, projected and actual in-service date, status (Planned, Conceptual, Under Construction, Completed, or dropped from the plan). Filter by type (gas_pipeline, transmission or all), state, status, min_capacity (gas MMcf/d), min_kv (transmission kV), an in-service window, new_since (projects first seen on or after a date, the initial backfill excluded) and include_delisted. Every row cites its source_url and license, and the summary counts every match by type, status and state with totals and an as_of date per source. Answers "what gas pipelines are being built into Louisiana, how much capacity do they add, and when do they enter service". Try: get_infra_projects type=gas_pipeline state=LA status=Construction. Do NOT use for new POWER GENERATION projects (use get_power_pipeline), for EXISTING, already-built pipelines, lines and substations (use get_infrastructure or get_grid_intelligence), or for data-center construction (use get_pipeline).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoWhich project list: gas_pipeline (EIA, US-wide), transmission (ERCOT TPIT, Texas only) or all (default)
limitNoMax results to return (1-500; default varies by tool)
stateNoUS state abbreviation, e.g. TX or LA. Gas projects match any state they cross; transmission projects are all TX
min_kvNoTransmission only: minimum voltage in kilovolts (kV), e.g. 345. With type=all it narrows to transmission projects
statusNoStatus, case-insensitive; comma list allowed. Gas: Announced, Pre-applied, Applied, Approved, Construction, On Hold, Completed. Transmission: Planned, Conceptual, Under Construction, Completed, Cancelled
new_sinceNoOnly projects DC Hub first saw on or after this date (YYYY-MM-DD). The initial backfill is never counted as new
min_capacityNoGas only: minimum pipeline capacity in million cubic feet per day (MMcf/d), e.g. 1000. With type=all it narrows to gas projects
in_service_afterNoOnly projects entering service on or after this date (YYYY-MM-DD or YYYY). Gas compares the in-service year; transmission the actual, else projected, in-service date
include_delistedNoAlso return projects the latest source release no longer lists (completed, withdrawn or dropped). Default false
in_service_beforeNoOnly projects entering service on or before this date (YYYY-MM-DD or YYYY)

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. Added

TDQS

A4.9/5.0
Behavior5/5

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

Annotations already establish readOnly, idempotent, non-destructive behavior; description adds rich context: source coverage (EIA vs ERCOT TPIT), row-level source_url/license, summary counts, as_of dates, delisted behavior, and meaning of new_since with backfill exclusion. This materially exceeds annotation coverage.

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?

Long but densely functional: front-loaded use case, concrete examples, coverage details, filtering semantics, and exclusions. Every sentence carries routing or behavioral information; no filler. The length is justified by the tool's ten-parameter complexity.

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 multi-source, ten-parameter tool, the description fully covers scope, field contents, statuses, filters, output summary behavior, provenance, and exclusions. An output schema exists, so return-value documentation is not required. Nothing needed for correct invocation is missing.

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 already documents all parameters at 100% coverage, so baseline is 3. The description adds meaning beyond schema by explaining filtering semantics (e.g., state matching for gas, transmission TX-only, new_since backfill exclusion, in-service window behavior, include_delisted). It omits limit in prose, but schema covers it.

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?

States a specific verb and resource: answering questions about planned/proposed/approved/under-construction gas pipeline and transmission projects. Clearly distinguishes from the existing network and names sibling tools (get_power_pipeline, get_infrastructure, get_grid_intelligence, get_pipeline) 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?

Opens with 'Use when...' and gives concrete examples. Explicitly lists when NOT to use the tool and names the correct alternatives for power generation, existing infrastructure, and data-center construction. No ambiguity remains about routing.

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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