Skip to main content
Glama

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

Get Refined Queue

get_refined_queue
Read-onlyIdempotent

Server-side SET-REDUCTION over the US ISO interconnection queue (~5,300 projects, 7 ISOs, ~1,744 GW). Instead of pulling the raw queue into context to filter (token-expensive, error-prone), push the predicates to the data layer and get back ONLY the survivors. Filter by min_mw, max_ttp_months (ISO-level avg interconnection wait), iso (comma-union), baseload_only (firm/dispatchable — excludes wind/solar/storage), fuel_type (isolate a specific fuel, e.g. gas or nuclear), and the spatial predicates max_fiber_km + geocoded_only. Returns _entity=queue_results: per-project name, ISO, state/county, fuel_type, capacity_mw, queue_status, estimated_ttp_months, fuel_class, plus (~83% of rows) lat/lng, coordinate_precision, fiber_km, and a compact per-survivor site_evaluation_handoff (ready-to-pipe analyze_site + get_water_risk args) + a by_iso/by_fuel summary. Answers "show me 1 GW+ gas projects that can connect in under three years", "what is in the queue that actually fits my timeline". Try: get_refined_queue min_mw=1000 fuel_type=gas max_ttp_months=34 — "1 GW+ gas in ISOs under 34-month time-to-power." NOTE max_ttp_months is a HARD ISO cut (SPP ~24 is the only ISO under 30, so <=30 can return nothing); use >=34 to include MISO/ERCOT/ISO-NE. Use for high-cardinality siting/arbitrage scans; do NOT use for the ISO-level GW aggregate (use get_interconnection_queue) or a single-site read (use analyze_site). Phase 2 LIVE: pipe a survivor's site_evaluation_handoff straight into analyze_site for a one-call composite viability read. CANDIDATE CONTRACT (2026-07-11): every survivor also mints a durable opaque candidate_id + snapshot_id (7-day TTL, deterministic candidate_expired on lapse — never a silent recompute). ZERO-DRIFT CHAINING: pass candidate_id to analyze_site / rank_sites instead of transposing coordinates — downstream reads the FROZEN mint, eliminating param-rename/rounding/lost-context drift. geocoded_only=true guarantees every survivor carries both the handoff AND frozen coordinates. Contract doc: dchub.cloud/docs/candidate-lifecycle.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
isoNoRestrict to one or more ISOs, comma-separated for a union: PJM, ERCOT, MISO, CAISO, SPP, NYISO, ISONE (ISO-NE). e.g. iso=ERCOT,PJM. Omit for all; combines with max_ttp_months as an intersection
limitNoMax results to return (1-500; default varies by tool)
min_mwNoMinimum project capacity in MW, e.g. 1000 for 1 GW+
statusNoQueue status filter. Default 'active' = still progressing (excludes withdrawn/cancelled/suspended/in-commercial-operation) — cross-ISO safe (SPP labels live projects 'IA FULLY EXECUTED/ON SCHEDULE' not 'active'). Pass 'all' for every status, or a literal label to substring-match
fuel_typeNoIsolate a fuel by inclusive substring match on the raw label; comma/semicolon-separated for a union, e.g. 'gas' hits GAS/Natural Gas, 'nuclear,hydro' unions both. Runs the fuel filter server-side instead of post-filtering survivors in context
max_fiber_kmNoKeep only survivors within N km of the nearest MAPPED long-haul fiber route endpoint — coarse backbone proximity from a sparse ~260-node dataset over a county-centroid origin, NOT last-mile fiber. Implies geocoded rows only
baseload_onlyNoKeep only firm/dispatchable fuel (nuclear, gas, steam, geothermal, hydro, coal); exclude wind/solar/storage. Firm-vs-intermittent split only — does NOT sub-divide peaker vs combined-cycle gas (no duty-cycle field in the queue). Default false
geocoded_onlyNoKeep only survivors that carry lat/lng (~83% of the queue) — the ones with a ready site_evaluation_handoff you can pipe into analyze_site. Default false
max_ttp_monthsNoMax time-to-power in months (ISO-level avg interconnection wait; HARD cut keeping projects in ISOs at/under this — PJM ~51, CAISO ~40, ISO-NE ~34, MISO ~34, ERCOT ~33, NYISO ~31, SPP ~24; <=30 leaves only SPP)

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

A4.9/5.0
Behavior5/5

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

Annotations already mark it read-only and idempotent; the description adds meaningful behavior beyond that: HARD ISO-level TTP cuts, partial geocoding (~83%), coarse fiber-proximity caveats, candidate_id/snapshot TTL behavior, and zero-drift chaining semantics. No contradiction with 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?

Extremely dense and information-rich, with the core value prop and example up front. It earns most of its length, though the candidate-contract lifecycle, zero-drift chaining, and contract-doc URL add a lot of adjacent detail that could have been trimmed or separated.

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?

Givven the tool's complexity, 9 parameters, and output schema, the description covers invocation patterns, parameter interactions, output shape, caveats, and downstream chaining. Nothing critical an agent needs to call it correctly appears to be 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?

Although the schema covers 100% of parameters, the description adds substantial semantics beyond the schema: fuel_type substring/union behavior, baseload_only's firm-vs-intermittent meaning, max_fiber_km's coarse dataset limitations, and max_ttp_months's per-ISO averages and hard-cut pitfalls. This is far beyond a baseline 'schema already documents it' case.

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 verb and resource: server-side set-reduction over the US ISO interconnection queue, returning only survivors that match predicates. It clearly distinguishes itself from get_interconnection_queue and analyze_site by explicitly saying what not to use it for.

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 ('high-cardinality siting/arbitrage scans') and when-not-to-use guidance with named alternatives ('ISO-level GW aggregate → get_interconnection_queue; single-site read → analyze_site'). Includes a concrete example query and threshold warnings that directly affect correct invocation.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

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.