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DC Hub — Data Center Site Selection & Colocation: Electricity, Power Grid, Gas, Fiber

Standing Intents (webhook push)

standing_intent
Destructive

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.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A5/5.0
Behavior5/5

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

Even though annotations already declare destructiveHint=true and idempotentHint=false, the description adds substantial behavioral detail beyond the structured metadata: webhook delivery is HMAC-signed, the register response includes a secret that must be saved, the first evaluation silently initializes the watermark, five consecutive delivery failures auto-disable the intent, and evaluation happens roughly every 2 hours. This level of transparency is well above what annotations alone provide.

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 long but every clause earns its place given the tool's complexity: mechanics, security, filtering semantics, failure behavior, cadence, exclusions, and an example. The core purpose is front-loaded in the first line, and the exclusions are placed at the end where they complement the guidance rather than obscure it.

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 seven parameters, no required fields, and an output schema, the description is remarkably complete. It explains the registration lifecycle, signature verification, watermark behavior, delivery failure handling, supported kinds, and the exact return shape ({intent_id, secret}). An agent has everything needed to register, list, and delete intents correctly without external docs.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, but the description meaningfully amplifies every parameter: it explains the action enum with defaults, maps each kind to its watch parameters, adds the critical constraint that webhook_url must be public HTTPS only with private hosts rejected, and clarifies intent_id's role in delete. This goes well beyond the schema's terse property descriptions.

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 opens with a precise verb+resource: 'STANDING QUERIES with webhook push — register an intent once and DC Hub POSTs an HMAC-signed webhook to YOUR https URL whenever matches grow.' This clearly differentiates it from one-shot tools like get_news and from email-based alerts like set_market_alert, so an agent can confidently identify what this tool uniquely does.

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: push notifications for recurring match detection, plus explicit exclusions: '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.' It also provides a concrete invocation example, making the usage context unmistakable.

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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TDQS

A4.1/5.0
Disambiguation2/5

Multiple tools occupy nearly identical semantic space: search/search_facilities/search_intelligence/semantic_search all retrieve data, and analyze_site/compare_sites/score_facility/get_composite_site_score/rank_sites all score or rank locations. Despite extensive disambiguation in the descriptions, the boundaries are subtle enough that an agent will likely misroute queries. Account and meta tools (claim_free_key, bind_email, unlock_more_data, subscribe_digest, recover_my_key, execute_plan, plan_query, discover_tools) add further selection noise.

Naming Consistency4/5

The vast majority of tools follow a clear snake_case verb_noun convention (get_*, search_*, list_*, set_*, save_*, compare_*, analyze_*, rank_*, plan_*). A few noun-phrase names break the pattern (deal_autopsy, hyperscaler_deals, grid_transition_radar, site_selection_canvas, standing_intent, ai_capacity_index), but these are still readable and discoverable.

Tool Count1/5

83 tools is an extreme count for any server, far beyond the 25+ threshold that already signals bloat. The domain is broad, but the catalog is inflated by overlapping variants, multiple meta-tools (execute_plan, plan_query, discover_tools, get_agent_registry, get_backup_status, summarize_for_citation), and account/upgrade plumbing (claim_free_key, bind_email, recover_my_key, unlock_more_data, subscribe_digest). This imposes heavy context and selection costs on agents.

Completeness5/5

The data-center siting domain is covered exhaustively: single-site scoring, market ranking, grid/gas/fiber/water/climate/disaster/tax/permitting intelligence, interconnection queues, construction pipeline, deals/news, saved-site monitoring, alerts, research dossiers, and citation support. Every workflow has a continuation path, so agents will not hit dead ends.