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get_ercot_cheapest_window

Find the cheapest upcoming window to run electricity load on the Texas ERCOT grid within the next 24 hours, showing how far below daily average prices are for your chosen hub and window length.

Instructions

Cheapest upcoming window to run electricity load on the Texas (ERCOT) grid — when to charge/compute in the next 24h and how far below the daily average. Paid.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hubNoERCOT hub (default HB_HUBAVG).
window_hoursNoWindow length in hours (1–12, default 2).
horizon_hoursNoSearch horizon in hours (1–48, default 24).
Behavior2/5

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

With no annotations provided, the description carries the full burden. It discloses the tool is paid and that it returns a comparison to the daily average, but it also limits the search to 'the next 24h' despite the horizon_hours parameter allowing up to 48, which could mislead agents. No information about output format, data source, or other side effects is given.

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 a single well-structured sentence with the core value proposition front-loaded. It efficiently conveys the tool's purpose, geographic scope, and a key output metric ('how far below the daily average') without unnecessary words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is relatively simple with three optional parameters and no output schema, so the description gives a reasonable overview. However, it does not specify the return format, and the fixed 'next 24h' phrasing conflicts with the configurable horizon, leaving some ambiguity about the full capability.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema provides clear descriptions for all three optional parameters, so the description does not need to add much. It does mention a 24-hour window, aligning with the default horizon, but adds no new meaning beyond the schema definitions. Baseline 3 is appropriate.

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 defines the tool's output as the cheapest upcoming window for electricity load on ERCOT, with specific details on timing and cost savings. It distinguishes itself from sibling tools that provide raw price or forecast data rather than an optimal scheduling window.

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

Usage Guidelines3/5

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

The description implies a clear use case (scheduling compute/charging on ERCOT) but does not explicitly state when to use this tool over alternatives like get_ercot_price_forecast. It offers no exclusions or comparative guidance, relying on the agent to infer from sibling names.

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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