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

Set Market Alert

set_market_alert

Subscribe to movement alerts for a DCPI market (FREE with a key) — get notified when its Excess-Power / Constraint score moves. On the free tier, email alerts are delivered to the email your human bound via bind_email (call bind_email first; the destination is forced to that address). Set channel="email". Webhook delivery (channel="webhook" + destination=) is Pro. Lets an agent MONITOR markets, not just query them. Answers "tell me when this market moves", "ping me if Northern Virginia’s power score changes". Try: set_market_alert market=northern-virginia channel=webhook destination=https://hooks.example.com/dc. Do NOT use to read a market right now (use get_market_dcpi_rank); this SUBSCRIBES to future movement.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
marketYesMarket slug (metro) to watch, e.g. northern-virginia — valid slugs come from rank_markets / get_market_dcpi_rank
channelYesDelivery channel: "email" (free, sent to your bound email) or "webhook" (Pro)
destinationNoFor channel="webhook", the https URL to POST alerts to (Pro); ignored for email (forced to bound address)

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

A4.7/5.0
Behavior5/5

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

Annotations say readOnlyHint=false, indicating a state-changing operation, and the description is transparent about the subscription side effect. It discloses that email destination is forced to the bound address, that webhook requires Pro, that destination is ignored for email, and the bind_email prerequisite — all beyond what annotations express. No contradiction with the annotations.

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?

Front-loaded with the core purpose in the first sentence, then layered details (tiers, prerequisite, examples, exclusion). Every sentence earns its place, though it is dense and slightly long; the information density justifies the length.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Covers purpose, tier constraints, prerequisite, parameter guidance, a try example, and the read-vs-subscribe distinction. An output schema exists so return values needn't be explained. Minor omissions only: how to unsubscribe/list alerts and what the webhook payload looks like.

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 params are already documented; the description adds tier semantics (email=free, webhook=Pro), clarifies that destination is ignored for email, and provides a working example showing valid slugs and a webhook URL. It reinforces but doesn't fully replace the schema — hence above baseline but not a 5.

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?

Opens with a specific verb+resource: 'Subscribe to movement alerts for a DCPI market' and states exactly what triggers a notification (Excess-Power / Constraint score moves). It explicitly differentiates itself from get_market_dcpi_rank by saying 'Do NOT use to read a market right now... this SUBSCRIBES to future movement', and the sibling context makes it distinct from set_site_alert/set_shortlist_alert.

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?

Explicitly names the alternative tool (get_market_dcpi_rank) and the condition that selects between them (read now vs subscribe to future movement). It also states the prerequisite (call bind_email first for email delivery), gives natural-language triggers ('tell me when this market moves'), a concrete try example, and tier conditions for email vs webhook.

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

A3.8/5.0
Disambiguation1/5

With 85 tools, several families are heavily overlapping: semantic_search and search_intelligence are explicitly documented as the same retrieval with different call shapes, save_site and save_to_shortlist both persist sites, and list_saved_sites and get_shortlist both read saved sites. Additionally, site scoring is split across analyze_site, get_composite_site_score, score_facility, and rank_sites, making correct tool selection very difficult for an agent.

Naming Consistency3/5

All names are snake_case and mostly readable, but conventions are mixed: many use get_* (get_facility, get_grid_intelligence), others use verb phrases (analyze_site, compare_isos, rank_markets), and some are bare noun phrases (ai_capacity_index, hyperscaler_deals, grid_transition_radar, site_selection_canvas). The search family alone uses search, search_facilities, semantic_search, and search_intelligence with no consistent pattern.

Tool Count1/5

85 tools is an extreme count for any MCP server, far beyond the 3-15 well-scoped range and above the 50+ threshold described as an extreme mismatch. Even with a wide domain like data-center siting, this many tools overwhelms agent context and makes selection costly.

Completeness4/5

The domain surface is exceptionally broad: siting, grid, gas, fiber, water, climate, tax, permitting, deals, news, facilities, saved shortlists, alerts, webhooks, key management, and research dossiers are all covered with connected workflows. Minor gaps exist, such as no delete or update for saved sites and no pause/resume for standing intents, but these are workable rather than blocking.