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DC Hub — Data Center & Energy Intelligence

Compare ISO Regions

compare_isos
Read-onlyIdempotent

Get a side-by-side comparison of 2-4 US ISO grids in one call — covering fuel mix, demand, renewable/gas share, interconnection-queue depth, and time-to-power.

Instructions

Use when a user wants a side-by-side of 2-4 ISO grids — fuel mix, demand, renewable/gas share, interconnection-queue depth, time-to-power — in one call instead of N sequential get_grid_intelligence calls. Example: "Compare PJM vs ERCOT vs CAISO on gas share, renewable share, and queue depth right now." — compare_isos isos="PJM,ERCOT,CAISO". Params: isos is a comma-separated list (2-4 max) drawn from the 7 live US ISOs: "PJM" | "ERCOT" | "CAISO" | "MISO" | "SPP" | "NYISO" | "ISO-NE". Returns: {isos[], comparison:{:{demand_mw, generation_mix_pct, renewable_share_pct, gas_share_pct, constraint_score, excess_power_score, avg_time_to_power_months, avg_queue_wait_months, queue_depth_gw, retail_price_cents_kwh}}, as_of}. ★avg_time_to_power_months (DCPI per-market estimate, ISO-averaged) and avg_queue_wait_months (proxy from live queue DEPTH) are DIFFERENT measurements — quote whichever you mean by name. Do NOT use to rank ALL grids globally (use get_grid_scoreboard) or for the single-ISO deep brief (use get_grid_intelligence).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
isosNoComma-separated list of 2-4 US ISO/RTO grid regions to compare, e.g. "PJM,ERCOT,CAISO" (valid: ERCOT, PJM, MISO, CAISO, SPP, NYISO, ISONE)

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.
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering safety. The description adds valuable behavioral context: it highlights that avg_time_to_power_months and avg_queue_wait_months are DIFFERENT measurements and warns the agent to use the exact metric name, preventing misinterpretation. It also clarifies the tool aggregates multiple ISOs in one call. This goes beyond the structured fields, though it could further explain data sources or freshness, so a 4 is appropriate.

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?

The description is appropriately sized for the tool's complexity: every sentence earns its place, starting with a clear usage directive, followed by an example, parameter details, return shape, a critical metric distinction, and exclusions. It is well-organized and front-loaded with the most actionable information.

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?

The output schema already documents the return structure, so the description doesn't need to repeat it. Beyond that, it covers the tool's scope (2-4 ISOs), the specific metrics compared, the key metric ambiguity, and exclusions relative to siblings. Given the complexity of a multi-ISO comparison tool, no significant gaps remain. It even includes a realistic usage example.

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 description coverage is 100% (the only parameter 'isos' is fully documented with valid codes). The description adds critical extra semantics: the comma-separated format, the 2-4 ISO limit, and that these come from the 7 live US ISOs. It also gives a complete worked example, which clarifies usage beyond the schema's plain list of values.

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 clearly states it compares 2-4 ISO grids on specific metrics (fuel mix, demand, renewable/gas share, etc.) in a single call, using the verb 'compare' with the resource 'ISO grids'. It also explicitly distinguishes itself from sequential get_grid_intelligence calls and other sibling tools like get_grid_scoreboard, making its purpose unmistakable.

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 opens with 'Use when a user wants a side-by-side of 2-4 ISO grids' and provides a concrete example. It explicitly states when NOT to use it: not for global ranking (use get_grid_scoreboard) and not for single-ISO deep briefs (use get_grid_intelligence), giving clear alternatives.

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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