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Energy Ercot Texas Grid Status

energy_ercot_texas_grid_status
Read-only

Live Texas (ERCOT) grid status from ERCOT's public dashboards: frequency, demand, net load, capacity and reserve margin (MW and %), wind, solar and inertia; the latest generation mix by fuel with shares; real-time and day-ahead prices for ERCOT hubs and load zones (USD/MWh); and ERCOT's demand and capacity forecast for the coming hours. Price: $0.002 in USDC per successful call, paid with x402 (Base, Solana or Arc); failed calls are not charged.

Input Schema

NameRequiredDescriptionDefault
forecastHoursNoForecast points to include, 0 to 48 (default 12)

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already indicate readOnlyHint=true and openWorldHint=true, so the safety profile is partly covered. The description adds valuable behavioral context beyond annotations: it is live data from public dashboards, costs $0.002 in USDC per successful call via x402, and failed calls are not charged, which is important for invocation decisions.

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?

The description is front-loaded with the core purpose and then lists supported data domains and pricing. It is dense but each piece is relevant to an agent deciding whether to call it; the metric list is long but justified for a multi-metric dashboards tool.

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?

Given the tool's complexity, the description covers source, region, data domains, and payment behavior, while an output schema exists to explain return values. It is largely complete, with only minor missing guidance about how it compares to sibling grid/ISO tools.

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?

Schema description coverage is 100%, and the single forecastHours parameter is fully documented in the schema. The description mentions forecast data generally but does not add syntax, default, or usage details for the parameter beyond what the schema already provides, so 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 uses a specific verb and resource: live Texas (ERCOT) grid status from ERCOT public dashboards. It enumerates the exact data domains covered, including frequency, demand, load, capacity, reserves, generation mix, prices, and forecasts, so it is clearly distinguishable from other grid-status siblings by region and source.

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 when to use it by specifying ERCOT/Texas grid status and listing the metrics available. However, it does not explicitly name alternatives such as energy_us_electric_grid_monitor or other ISO tools, nor does it state when not to use this tool.

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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