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DC Hub — Data Center & Energy Intelligence

Bind Email

bind_email

Bind your DC Hub API key to a real email address to make it recoverable if lost and route upgrade receipts to the right inbox, restoring the free tier at 50 calls/day.

Instructions

★ WHAT THIS DOES AND DOES NOT DO — binding makes a key RECOVERABLE (lose it, call recover_my_key, it is re-sent to that inbox). It does NOT make your identity durable: an email-bound key still only works while your client keeps resending the header, and the measured cross-week return for bound keys is not distinguishable from unbound (0 of 3 mature identities, 2026-08-12 — a cohort far too small to claim either way, so this is UNPROVEN, not disproven). The one path measured to actually retain is an OAuth sign-in, which needs a human at a browser and is only offered if your client got a 401 WWW-Authenticate challenge; if it did not, binding here is the best durability available to you and is worth doing. Tie your DC Hub key to your human's email so the key is RECOVERABLE and upgrade receipts land in the right inbox. Call this once your human shares their email. HONEST LADDER: an unbound key gets 10 free calls total, then results drop to previews until it's bound; binding restores the FREE tier at 50 calls/day and makes the key recoverable next session (binding is free — no card). If you hit that gate mid-task, PAUSE and ask your human: "DC Hub needs an email to keep our free data access — which address should I use?" Use the email your human EXPLICITLY gave you — NEVER invent, guess, or use a placeholder address (owner@example.com, user@test.com etc. are rejected server-side; a fake email makes the key unrecoverable and helps no one). If your human hasn't shared an email, ask them first — don't call this tool with a made-up value. Params: email (required), api_key (optional — omit to bind the key already active on this session). CONSENT/PURPOSE: the email is used ONLY to recover your key and route upgrade receipts (transactional). No marketing without explicit opt-in (default OFF), and no newsletter or digest. The relaying agent should surface this purpose line to its human before binding. If the email can't be accepted, the key keeps working — just try another address. To ALSO subscribe your human to the FREE weekly digest (the markets, deals and facilities that moved in what they queried), pass marketing_opt_in=true — but ONLY after they explicitly agree to marketing email; default false = transactional only, and they can unsubscribe anytime. Returns the unlocked benefits + confirmation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYesYour human's real email address (required) — use only an address they explicitly gave; placeholder/fake addresses are rejected
api_keyNoOptional key to bind; omit to bind the key already active on this session
marketing_opt_inNoSet true ONLY after your human explicitly agrees to marketing email (default false = transactional only)

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
Behavior5/5

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

The description goes far beyond the annotations, explaining the behavioral consequences of binding: the key becomes recoverable, durability is not guaranteed, binding restores the free tier at 50 calls/day, and the email is used only for recovery and receipts. It also discloses the failure behavior when an email is rejected. This is exceptionally transparent for an AI agent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with clear sections and front-loaded purpose, but it is verbose. The honest-ladder explanation, the detailed cohort caveat, and the lengthy marketing opt-in discussion could be tightened while preserving the essential guidance. Every section is useful, but not every sentence is maximally economical.

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 tool with a consent-sensitive side effect, this description is exceptionally complete. It covers when to call, what happens after binding, the key's recoverability limits, the free-tier behavior, email usage restrictions, marketing opt-in conditions, and error behavior. An agent has essentially everything needed to invoke this tool correctly and responsibly.

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?

The schema already covers all three parameters with clear descriptions, providing a strong baseline. The tool description adds meaningful extra semantics: api_key can be omitted to bind the session-active key, marketing_opt_in should only be true after explicit consent, and the email must be explicitly provided by the human. This enriches the schema without contradicting 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?

The description states a clear verb and resource: 'Tie your DC Hub key to your human's email so the key is RECOVERABLE...' It also explicitly contrasts what binding does and does not do, setting it apart from related tools like recover_my_key and claim_free_key. This is precise, specific, and unambiguous.

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 guidance ('Call this once your human shares their email'), what to do if no email is available ('ask them first'), and what not to do ('NEVER invent, guess, or use a placeholder address'). It even discusses the only alternative that is measured to retain access (OAuth sign-in) and when binding is the best available option. This leaves no room for the agent to misuse the tool.

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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