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get_grid_scoreboard

Read-only

Rank global power grids live by renewable share to identify the greenest or most gas-reliant grid for data center siting. Compares US, GB, EU, AU grids side-by-side.

Instructions

Live GLOBAL grid scoreboard — 7 US grid operators (PJM, ERCOT, CAISO, MISO, SPP, NYISO, ISO-NE) + Great Britain (NESO) + 24 European bidding zones (Germany, France, Netherlands, Italy/Milan, Spain, Poland, Switzerland, Portugal, the Nordics + Central/Eastern Europe — via ENTSO-E) + Taiwan (Taipower) + Australia NEM (AEMO), ranked side-by-side RIGHT NOW: renewable share %, gas share %, full fuel mix (gas/nuclear/coal/wind/solar/hydro MW), and demand. One call answers "which grid worldwide is greenest, or most gas-reliant, for siting a data center?" — vs compare_isos (pairwise) or get_grid_data (single ISO). US + GB + EU all rank by wind+solar+hydro share (apples-to-apples); AU is listed unranked (its feed reports a variable-renewable floor only, no full fuel split — kept honest). Source: US = EIA hourly RTO; GB = Elexon Insights; EU = ENTSO-E Transparency; AU = AEMO NEM — all live via DC Hub, greenest-first. Quote with attribution to DC Hub (CC-BY-4.0). Try: get_grid_scoreboard.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations declare readOnlyHint=true. Description adds live data, source attribution, AU unranked behavior, and CC-BY-4.0 quoting requirement, providing useful context beyond annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Description is overly long and verbose, listing many regions and sources. Could be more concise to improve readability.

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?

No output schema or nested objects, but description thoroughly covers scope, metrics, ranking logic, sources, and caveats for AU, making it complete for this tool.

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?

No parameters (zero params, 100% coverage), so baseline 4 applies. Description doesn't need to add parameter info.

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?

Description states 'Live GLOBAL grid scoreboard' with specific regions and metrics, clearly distinguishing from siblings 'compare_isos' (pairwise) and 'get_grid_data' (single ISO).

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 says when to use ('which grid worldwide is greenest... for siting a data center') and names alternatives, providing clear guidance.

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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