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DC Hub — Data Center & Energy Intelligence

Standing Intents (webhook push)

standing_intent
Read-onlyIdempotent

Set up a standing query to receive HMAC-signed webhook pushes whenever new deals, news, or permitting changes match your filters. Automate monitoring instead of polling.

Instructions

STANDING QUERIES with webhook push — register an intent once and DC Hub POSTs an HMAC-signed webhook to YOUR https URL whenever matches grow (push, not poll: "notify my orchestrator on any new deal in Columbus"). Requires a key. Params: action ("register" default | "list" | "delete"), kind ("new_deal_in_market" watches deals in params market · "news_keyword" watches news matching q · "permitting_change" watches published permitting intel, optionally per state), market / q / state (the watch parameter for the chosen kind), webhook_url (public HTTPS only — private/internal hosts rejected), intent_id (for delete). Register returns {intent_id, secret} — SAVE the secret: every delivery carries X-DCHub-Signature: sha256=HMAC(secret, body). First evaluation initializes the watermark silently; growth fires the webhook; 5 straight delivery failures auto-disable the intent. Evaluated every ~2h. Answers "notify my system whenever a new moratorium appears", "push me new matches instead of making me poll". Try: standing_intent kind=news_keyword q=moratorium webhook_url=https://hooks.example.com/dchub. Do NOT use for one-shot reads (use get_news / list_transactions) or email alerts (use set_market_alert); this is machine-to-machine push.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoFor news_keyword: the keyword/phrase to watch in title+summary, e.g. moratorium
kindNoWatch kind: "new_deal_in_market" | "news_keyword" | "permitting_change"
stateNoFor permitting_change: optional US state filter, e.g. MN
actionNo"register" (default), "list" (your intents), or "delete" (needs intent_id)
marketNoFor new_deal_in_market: the market/region substring to watch, e.g. columbus
intent_idNoThe intent_id to delete (from register/list)
webhook_urlNoYour public HTTPS webhook endpoint (required for register)

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

A4.1/5.0
Behavior1/5

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

The description itself is rich, disclosing HMAC signatures, saving the secret, watermark initialization, delivery failure auto-disable, and ~2h evaluation cadence. However, the annotations declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, while the description documents register/delete actions and stateful webhook behavior, which are mutating and not idempotent. This is a direct annotation contradiction, so the score is 1.

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, the description is dense and well structured: it opens with the core value proposition, explains mechanism and required security behavior, provides a runnable example, and ends with exclusions. Every sentence contributes useful information, and the most important operational constraints are 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 complex 7-parameter tool, the description covers the full lifecycle: how to register, what is returned, how deliveries are signed, failure behavior, evaluation frequency, and when not to use it. The presence of an output schema reduces the need to document return structure, and the description still covers the critical return fields and side effects.

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 meaningful value beyond the schema: it explains action defaults, maps each kind to its relevant watch parameter, enforces public HTTPS only, and warns that register returns {intent_id, secret}. This goes beyond simple restatement of param names.

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 clearly identifies a specific resource and action: registering standing intents that trigger HMAC-signed webhook pushes when matches grow, explicitly contrasting this with polling. It also names the sibling alternatives it is not (get_news, list_transactions, set_market_alert), so an agent can distinguish it from related tools.

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: machine-to-machine push notifications for standing queries, with a concrete example invocation. It also states exclusions, directing agents to get_news/list_transactions for one-shot reads and set_market_alert for email alerts, making the decision boundary clear.

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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