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GB Electricity Grid: Generation by type, 24h

gb-electricity__generation-today
Read-onlyIdempotent

Actual generation by production type over the last 24 hours (solar, wind, nuclear, gas…). Free within the daily allowance, then $0.001 USDC per call via x402.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered. The description adds genuinely new behavioral context by disclosing the cost model — free within a daily allowance, then $0.001 USDC per call via x402 — which an agent needs for budgeting or rate decisions.

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?

Two tight sentences, zero waste, with the core scope front-loaded and pricing relegated to the second sentence. Nothing is repeated from the title.

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 zero parameters, an output schema covering return values, and annotations covering safety, the description needs only to state scope and cost — both are present. It stops short of noting granularity (e.g., time resolution) or caveats such as data latency, which would fully round it out.

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?

The tool takes no parameters, so the schema cannot convey parameter meaning and the baseline is 4. The parenthetical examples of production types are the only semantic content and are illustrative rather than a formal parameter description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a specific verb+resource+scope: actual generation by production type over the last 24 hours, with illustrative types (solar, wind, nuclear, gas). The 24h window implicitly separates it from siblings like generation-now and generation-history, but those alternatives are never named, so an agent must infer the distinction.

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

Usage Guidelines2/5

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

There is no explicit when-to-use guidance and no comparison to the many sibling generation tools (generation-now, generation-history, wind-solar). The only extra sentence is about pricing, which is not selection 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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