exascale.build

Query Power Interconnection Queue (MISO)

query_power_interconnection_queue_v1

Read-onlyIdempotent

Query the MISO generator interconnection queue — the public waiting line of projects that have REQUESTED to connect to the MISO grid (the 15-state Midwest/South footprint).

Returns cited, project-level records: requested megawatts (net summer / net winter), location (state, county, derived county_fips), fuel and technology as MISO reports them, three independent status dimensions (application_status, study_phase, post_gia_status), and queue / withdrawn / in-service dates. Group or filter by state, county_fips, application_status, study_phase, post_gia_status, fuel_type, facility_type, service_type, study_group, study_cycle, or is_hybrid; filter queue_date by the queue_date_from / queue_date_to range. Pass each parameter as a top-level key of params (flat — not nested). Example: {"state": "IN", "fuel_type": "Solar", "application_status": "Active"} for active solar requests in Indiana; {"group_by": ["application_status"]} for requested MW and project counts by status. Returns JSON aggregates with citations and optional row-level records when include_records is true; every value carries source, as_of, and a source_row verifiable with get_source_evidence_v1.

This is REQUESTED capacity, not built: historically the large majority of queued megawatts withdraw before they are built. NEVER read a requested-MW total as installed or operating capacity — it is additive across distinct projects but is a REQUESTED total only. Filter application_status (Active / Withdrawn / Done) to scope the queue; the full export is withdrawn-dominated. For built/operating capacity use query_power_capacity_v1.

MISO only — never summed, deduped, or compared across ISOs into a national total (each ISO's methodology, inclusion rules, and withdrawal rates differ). For the PJM interconnection queue (the mid-Atlantic RTO incl. Northern Virginia) use query_power_interconnection_queue_pjm_v1 (or query_power_interconnection_queue_pjm_cycle_v1 for PJM's new cluster/cycle process incl. the reopened Cycle 1); for the CAISO (California) queue use query_power_interconnection_queue_caiso_v1; for the NYISO (New York, incl. load interconnection requests) queue use query_power_interconnection_queue_nyiso_v1; for the ISO-NE (New England) queue use query_power_interconnection_queue_isone_v1; for the ERCOT (Texas) queue use query_power_interconnection_queue_ercot_v1; for the SPP (central US) queue use query_power_interconnection_queue_spp_v1 — separate ISO blocks, never combined with this one. MISO reports no data-center / load type, and this tool does not infer one — that interpretation is the analyst's, from cited rows.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`params`	No

Output Schema

TableJSON Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

AddedJun 18, 2026

TDQS

A5/5.0

Behavior5/5

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

Beyond the annotations (readOnlyHint, destructiveHint, idempotentHint), the description discloses critical behavioral traits: queued MW are REQUESTED not built, the export is withdrawn-dominated, and the tool does not infer data-center/load types. It also details the response structure (citations, source, as_of, source_row) and the need to verify with get_source_evidence_v1.

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?

Though long, every sentence adds necessary context for a complex data tool. It is front-loaded with the core definition, then covers parameters, examples, caveats, and alternatives in a logical order. No redundant or filler content — each claim is actionable for an agent.

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?

Given the tool's complexity (many filter dimensions, caveats about data meaning, cross-ISO pitfalls), the description is remarkably complete. It covers what the tool returns, how to filter/group, what the data does NOT mean, and which sibling tools to use instead. The presence of an output schema is acknowledged and the description still adds value by describing record-level vs aggregate modes.

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?

The input schema is a generic object with 0% coverage, so the description carries the full burden. It lists all filterable fields (state, county_fips, application_status, study_phase, post_gia_status, fuel_type, facility_type, service_type, study_group, study_cycle, is_hybrid), date range parameters, group_by, include_records, and provides a concrete example. This fully compensates for the empty schema.

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 specific verb and resource: 'Query the MISO generator interconnection queue — the public waiting line of projects that have REQUESTED to connect to the MISO grid.' It clearly defines the tool's scope (MISO, 15-state footprint) and differentiates it from sibling ISO queue tools by explicitly naming other ISO-specific alternatives.

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 provides explicit when-to-use guidance, including 'For built/operating capacity use query_power_capacity_v1' and 'MISO only — never summed, deduped, or compared across ISOs into a national total.' It also names exact alternative tools for PJM, CAISO, NYISO, ISO-NE, ERCOT, and SPP, giving the agent clear decision rules.

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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