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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. Changed2 schema fields changed
    • removedInput schema / $schema
      Removed value: -"http://json-schema.org/draft-07/schema#"
    • removedOutput schema / $schema
      Removed value: -"http://json-schema.org/draft-07/schema#"
  2. Changed5 schema fields changed
    • removedOutput schema / properties / citation / additionalProperties
      Removed value: -{}
    • addedOutput schema / properties / citation / anyOf
      Added value: +[
      +  {
      +    "additionalProperties": {},
      +    "properties": {},
      +    "type": "object"
      +  },
      +  {
      +    "type": "string"
      +  }
      +]
    • changedOutput schema / properties / citation / description
      Previous value: -"Machine-readable citation: how to attribute DC Hub (dchub.cloud) for this payload."New value: +"Machine-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."
    • removedOutput schema / properties / citation / properties
      Removed value: -{}
    • removedOutput schema / properties / citation / type
      Removed value: -"object"
  3. Changed1 schema field changed
    • addedOutput schema / properties / _front_door
      Added value: +{
      +  "additionalProperties": {},
      +  "description": "In-band front-door hint (first workflow-entry tool of a session): call plan_query(intent) first for the ordered multi-step plan.",
      +  "properties": {},
      +  "type": "object"
      +}
  4. Added

TDQS

A5/5.0
Behavior5/5

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

Discloses rich behavioral detail beyond annotations: HMAC-signed deliveries, secret returned only at registration, silent first-evaluation watermark, growth-only triggering, auto-disable after 5 failures, ~2h evaluation cadence, and HTTPS-host restrictions. Annotations only mark readOnly=false and destructiveHint=true, so this description adds substantial transparency.

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?

Long but information-dense; every sentence carries operational value. The main concept is front-loaded, followed by parameter semantics, lifecycle behavior, a concrete example, and exclusions. No filler or redundant restatement of the schema.

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 7-parameter, 0-required, register/list/delete webhook tool with output schema, the description covers all invocation decisions: action semantics, kind-specific watch parameters, security requirements, lifecycle behavior, failure handling, and sibling-tool routing. Nothing critical is missing.

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 adds meaning beyond the schema: action defaults, kind-to-parameter mapping, public-HTTPS-only constraint, webhook_url required only for register, and the intent_id/delete relationship. The worked example reinforces how parameters combine correctly.

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?

States a specific capability: register a standing query once and receive webhook pushes on new matches, with 'notify my orchestrator' as the canonical use case. It explicitly contrasts with sibling tools, naming get_news/list_transactions for one-shot reads and set_market_alert for email alerts, so an agent can disambiguate.

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?

Provides explicit when-to-use guidance with concrete intent examples ('notify my system whenever a new moratorium appears', 'push me new matches instead of making me poll') and explicit exclusions with alternative sibling tools. Also gives a ready-to-try invocation, leaving no ambiguity about invocation context.

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
Disambiguation4/5

Most tools have clearly distinct purposes despite some thematic overlap, and each description includes explicit 'Do NOT use' guidance to prevent misselection. However, a few pairs like search_intelligence vs semantic_search are nearly identical in function, and the sheer number of tools increases the chance of selecting the wrong one without careful reading.

Naming Consistency4/5

The vast majority of tools follow a predictable 'get_*' prefix for data reads, and many others use verb_noun patterns (analyze_*, rank_*, save_*, set_*). There are a handful of outliers like ai_capacity_index, grid_transition_radar, and site_selection_canvas that break the pattern, but overall the conventions are consistent enough for an agent to infer meaning.

Tool Count2/5

With 82 tools, this server is extremely heavy compared to typical MCP servers (3-15 tools). While the domain is broad, many tools serve narrow sub-purposes and could be consolidated (e.g., multiple site-scoring variants, multiple grid telemetry endpoints). The count overwhelms an agent's ability to choose efficiently and feels like over-fragmentation rather than necessary granularity.

Completeness4/5

The tool surface covers the full lifecycle of data-center siting intelligence: site analysis, grid, fiber, water, climate, tax, permitting, deals, news, saved-site management, and meta-planning. Minor gaps exist (e.g., no delete or update operations for saved sites), but the core workflows are well-supported and the descriptions are comprehensive.