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azmartone67

DC Hub — Data Center & Energy Intelligence

Subscribe Digest

subscribe_digest

Subscribe a human to a weekly email digest covering market changes, DCPI movers, new facilities, deals, and news. Uses double opt-in to confirm consent and includes one-click unsubscribe.

Instructions

Subscribe your human to DC Hub's FREE weekly "what changed in the markets/sites you queried" digest (DCPI movers, new facilities, new deals & news) — ONE call, the nudge that pulls your agent back when the data moves. DOUBLE opt-in + consent-safe: we email a one-click CONFIRM link, the human only gets the digest after confirming, and every email has one-click unsubscribe — this call alone sets no marketing flag. Only call once your human shares their email and wants a weekly email. Params: email (required), source (optional tag). Returns {ok, sent, message}. Prefer this over hand-building POST /api/v1/opt-in/request.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYesYour human's email address (required) — a one-click confirm link is sent; use only an address they explicitly gave
sourceNoOptional attribution tag for where the subscription came from, e.g. mcp_digest

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?

The description discloses consent behavior in detail: double opt-in, one-click confirm link, one-click unsubscribe, no marketing flag set, and the returned shape. This goes well beyond the minimal annotations and tells the agent exactly what side effects to expect.

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 dense but well-organized, front-loading the purpose and then providing consent caveats, trigger conditions, params, return value, and a preferred alternative. It is longer than strictly necessary but every sentence carries meaningful selection or behavior information.

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 annotations, input schema, and output schema, the description covers everything needed: when to call, consent side effects, parameter expectations, return shape, and an alternative. Nothing critical is missing for an agent to invoke this correctly.

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 coverage is 100%, so the schema already documents both parameters. The description adds a small amount of context by emphasizing the email must be explicitly shared and mentioning source is an optional tag, but it mostly restates 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 states a specific verb and resource: subscribing a human to DC Hub's weekly digest, and explains exactly what the digest contains. It is clearly distinguishable from the many sibling data-query tools and even contrasts itself with hand-building the POST endpoint.

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 an explicit precondition: only call once the human shares their email and wants a weekly email. It also provides a clear alternative by saying to prefer this tool over hand-building POST /api/v1/opt-in/request, which gives the agent actionable selection guidance.

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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