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DC Hub — Data Center & Energy Intelligence

Save Site

save_site

Save a data-center site to your DC Hub account to build a shortlist, snapshot its DCPI baseline, and receive change alerts. Requires lat/lon plus optional name, market, target MW.

Instructions

NEEDS A KEY (free): this WRITES to your account, so a keyless call returns auth_required — call claim_free_key FIRST (one step, no email) if you have none. Save a candidate data-center site to your DC Hub account to track it across sessions. Give lat + lon (plus optional name, state, market, target_mw, notes). Returns the saved site id. Pass market and DC Hub snapshots the site's DCPI baseline at save time, so every later list_saved_sites / get_changes shows how ITS score and verdict moved since you saved it. Builds a persistent shortlist an agent can revisit + monitor — after saving, pass the returned id to set_site_alert so DC Hub emails you when that site’s DCPI/capacity/nearby-facilities move (no re-checking). Answers "remember this parcel for me", "keep this candidate so I can come back to it next session". Try: save_site lat=39.04 lon=-77.48 name="Ashburn parcel" market=northern-virginia target_mw=100. Do NOT use to read back the shortlist (use list_saved_sites), download it (use export_dataset), or score a site (use score_facility); this WRITES one site to your account.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
latNoSite latitude in decimal degrees (-90 to 90), e.g. 39.04
lngNoAlias for lon — either name works
lonNoSite longitude in decimal degrees (-180 to 180), e.g. -77.48
nameNoOptional label for the saved site, e.g. "Ashburn parcel"
notesNoOptional free-text notes to store with the saved site
stateNoUS state abbreviation for the site, e.g. VA
marketNoMarket slug (metro) the site belongs to, e.g. northern-virginia
latitudeNoAlias for lat — either name works
longitudeNoAlias for lon — either name works
target_mwNoTarget power load for the planned build in megawatts (MW), e.g. 100

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

A4.9/5.0
Behavior5/5

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

Annotations only say readOnlyHint=false, destructiveHint=false, idempotentHint=false. The description adds substantial behavioral context beyond that: keyless calls return auth_required, the call WRITES to the account, it 'Builds a persistent shortlist an agent can revisit + monitor', and passing market triggers a DCPI baseline snapshot that changes later list_saved_sites/get_changes output. No contradiction with annotations — readOnlyHint=false aligns with the stated write behavior.

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?

Although long, every sentence earns its place: auth warning is front-loaded, followed by function, parameters, return value, side effect, follow-up workflow, exclusions, and a runnable example. The structure is logical and dense with no filler or tautology, appropriate for a tool with 10 parameters and an auth flow.

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 — account writes, auth requirements, DCPI side effects, and a 10-parameter surface — nothing material is missing. The description covers the auth prerequisite, return value (saved site id), the persistent-shortlist behavior, the alert follow-up, sibling alternatives, and an executable example. An output schema exists to document return details further.

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. The description adds value beyond the schema by clarifying that lat + lon are the operative inputs despite zero required params, explaining market's side-effect behavior ('DC Hub snapshots the site's DCPI baseline at save time'), and providing a concrete example mapping values to parameters. This pushes it above baseline, though the schema already documents the aliases well.

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 names a specific verb + resource + destination: 'Save a candidate data-center site to your DC Hub account to track it across sessions.' It explicitly differentiates itself from the confusable siblings by stating 'Do NOT use to read back the shortlist (use list_saved_sites), download it (use export_dataset), or score a site (use score_facility).' An agent can select this tool correctly without opening any schema.

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 context ('Answers "remember this parcel for me"...'), a named prerequisite ('call claim_free_key FIRST'), three named exclusions with alternative tools, and a follow-up workflow (pass the returned id to set_site_alert). This fully routes the agent on when to use it versus alternatives.

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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