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interconnection-queue-tracker

Normalize and track US ISO/RTO interconnection queues across 7 sources, detecting new, withdrawn, status-change and COD-slip deltas for renewables developers and consultants.

Instructions

US Interconnection Queue Tracker - 7 ISO Queues & Deltas API. Normalize US ISO/RTO generator interconnection queues (SPP, MISO, NYISO, CAISO, PJM, ERCOT, ISO-NE) into one schema and track new, withdrawn, status-change and COD-slip deltas. For renewables developers, land agents, and energy consultants. Keyless. Reads live from the official government source. COST AND SIDE EFFECTS: read-only with respect to the government source — it never writes to any external system — but each call starts a metered run on YOUR Apify account, billed $0.008 per result ($8 per 1,000). Lower on paid Apify plans, down to $2.40 per 1,000. Nothing is charged when a run fails. Store page: https://apify.com/malonestar/interconnection-queue-tracker

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
isosNoISO/RTO codes to pull. Leave empty to pull ALL 7 live sources (SPP, MISO, NYISO, CAISO, PJM, ERCOT, ISO-NE) in one run. All 7 are keyless - no account or API key needed. An unrecognised code now FAILS the run before anything is billed, rather than being silently dropped (which used to fall through to "all seven"). Example: ["SPP"]. Applied by default if omitted: [].
modeNosnapshot = emit the current normalized queue, automatically annotated with monitor fields (is_new_since_last_run, status_changed, previous_status) vs. the actor's own self-managed KV snapshot, plus synthetic withdrawn and per-ISO iso_summary rows. delta = legacy manual mode: compare against a prior snapshot YOU supply (priorItems/priorKvKey) and emit only change rows (new / withdrawn / status_change / cod_slip). Applied by default if omitted: "snapshot".
deltaOnlyNoSnapshot mode only. When true, suppress unchanged queue rows and emit ONLY new/status-changed rows, synthetic withdrawn rows, and one iso_summary roll-up row per ISO — ideal for a scheduled weekly/daily monitor run that only cares about what changed. When false (default), the full queue is emitted as before, PLUS the same withdrawn/iso_summary rows as free bonus monitoring signal. Applied by default if omitted: false.
maxResultsNoMaximum number of queue records to fetch across ALL selected ISOs combined. The cap is applied in ISO order, so a low value truncates the last ISOs: any ISO that is cut short or never reached is marked iso_status=truncated / not_fetched on its iso_summary row and is excluded from withdrawn-project detection for that run. The default is deliberately low (500) so an unconfigured call cannot run away; raise it to about 20000 to pull the whole federation (~18,200 records). Applied by default if omitted: 500.
priorItemsNoDelta mode: the prior run's unified queue items (the array of records this actor produced before). The diff is computed purely against these. Ignored in snapshot mode. Applied by default if omitted: [].
priorKvKeyNoDelta mode alternative to priorItems: a key in this actor's key-value store holding the prior snapshot. When set, the current snapshot is also SAVED under this key so scheduled runs diff automatically against the previous run.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.2

TDQS

A4.5/5.0
Behavior5/5

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

Annotations give only the safety profile, and the description goes well beyond it: metered Apify run at $0.008/result with plan-based discounts, no charge on failed runs, invalid ISO codes fail before billing, snapshot mode writes to the actor's own KV store, and low maxResults truncates trailing ISOs and excludes them from withdrawn detection. This is exactly the operational context an agent needs before invoking a metered, stateful call.

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, then a clearly labelled COST AND SIDE EFFECTS block. The pricing paragraph is slightly repetitive (two price restatements) but each section is scannable and nothing important is buried.

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?

With no output schema, the description carries the return burden and largely does it — it names the emitted row types (new, withdrawn, status_change, cod_slip, iso_summary) and describes synthetic rows. It does not specify pagination or the shape of an individual queue record, which is the only notable gap.

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 the baseline is 3, but the description still adds value: the whole-federation size (~18,200 records) and the advice to raise maxResults to ~20000, plus that unrecognised ISOs now fail the run rather than silently falling back to all seven. It stops short of explaining priorItems/priorKvKey interaction in any detail beyond what the schema already says.

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 (normalize + track deltas) on a specific resource (US ISO/RTO interconnection queues) and enumerates the exact 7 sources covered. The sibling tools are other gov-data utilities, none of which touch interconnection queues, so an agent can route unambiguously without opening a schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Names an audience (renewables developers, land agents, energy consultants) and gives clear mode-selection context (snapshot vs. delta, deltaOnly for scheduled monitor runs). It never explicitly says when NOT to use it or names an alternative tool, so it falls short of a 5.

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