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azmartone67

DC Hub — Data Center & Energy Intelligence

Construction Pipeline

get_pipeline
Read-onlyIdempotent

Identify data center projects in announced, permitted, or construction stages. Filter by operator, country, capacity, and expected completion to see what's being built and when it goes live.

Instructions

Use when a user asks "what is being built / announced / permitted" in a market or by an operator — the forward-looking construction pipeline. Example: "What data centers are under construction in Northern Virginia and when do they come online?" — get_pipeline country=US status=construction (there is no market parameter — filter by country/operator, or use search_facilities for a named market). Params: status one of "announced" | "permitted" | "construction" | "operational"; operator (e.g. "Equinix", "Digital Realty", "AWS"); country (ISO-2, e.g. "US", "DE"); min_capacity_mw (e.g. 50 to filter hyperscale); expected_completion_before (ISO date, e.g. "2027-01-01"); limit/offset for pagination. Returns: {projects:[{name, operator, capacity_mw, status, expected_commissioning, market_slug, country, lat, lon}], total, generated_at}. Do NOT use for already-operational facilities (use search_facilities) or for the M&A deal flow (use list_transactions).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results to return (1-500; default varies by tool)
offsetNoPagination offset, 0-based (skip this many results)
statusNoPipeline stage filter: announced, permitted, construction, or operational
countryNoISO 3166-1 alpha-2 country code, e.g. US, DE, SG
operatorNoOperator/provider company name, e.g. Equinix, Digital Realty, AWS
min_capacity_mwNoMinimum project power capacity filter in megawatts (MW), e.g. 50 for hyperscale
expected_completion_beforeNoOnly projects with expected commissioning before this ISO-8601 date (YYYY-MM-DD), e.g. 2027-01-01

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

A4.7/5.0
Behavior4/5

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

Annotations already cover read-only/idempotent behavior, and the description adds valuable context: return shape, pagination, the lack of a market parameter, and filtering guidance. It loses one point for a small internal ambiguity: status includes 'operational' while the description says not to use it for already-operational facilities. This does not contradict 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 dense but well organized into purpose, example, parameters, return shape, and exclusions. Every segment earns its place and the most important routing information is front-loaded.

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 7-parameter read-only tool with an output schema, this description is complete: it covers when to use, how to construct queries, what parameters mean, what the response looks like, and which sibling tools to use instead. No critical information 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 coverage is 100%, so the baseline is 3, but the description adds concrete value: explicit status enum values, ISO-2 country example, ISO date format with an example, operator examples, MW threshold guidance, and pagination mention. This goes beyond the schema without being redundant.

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 purpose: answering 'what is being built / announced / permitted' via the forward-looking construction pipeline. It clearly distinguishes this tool from search_facilities and list_transactions, so an agent can tell when to use it versus siblings.

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 an explicit 'Use when' condition and provides a concrete example query. It also states exactly when not to use it ('Do NOT use for already-operational facilities' or 'M&A deal flow') and names the alternative tools, plus warns that there is no market parameter.

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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