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

Annotations already declare read-only, idempotent, open-world behavior, so the safety profile is covered. The description adds genuinely useful commercial context (free within the daily allowance, then $0.001 USDC via x402), but says nothing about units, timezone, resolution, or freshness of the peak figure.

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

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

Two short sentences, front-loaded with what the tool returns before the pricing note. Nothing is padded, though the pricing sentence is generic boilerplate that could apply to any tool in the server.

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

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

An output schema exists, so return values needn't be explained. However, for a tool embedded in a dense family of demand endpoints, the definition is incomplete on the one thing that matters most: how peak demand differs from demand-daily and the forecast variants.

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

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

The tool takes zero parameters, so there is nothing for the description to disambiguate. The baseline for a no-parameter tool is 4 regardless of schema coverage.

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

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

It names a specific resource and metric ('Daily peak transmission demand'), which is more than a tautology. But it does not distinguish itself from the eight sibling demand tools (demand-daily, demand-outturn, demand-forecast, etc.), so an agent cannot tell which demand variant this covers without opening the schemas.

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

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

No when-to-use guidance at all. The entry gives no condition for choosing peak demand over demand-daily or demand-outturn, which is the central selection problem in this cluster of near-identical siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.