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

Annotations already declare read-only, idempotent, open-world, non-destructive behavior. The description adds important context: MW are requests or source-reported capacity, not forecasts, and that historical benchmarks are separate from current direct queues. It also notes inclusion of source URL, date, collection time, raw evidence, revisions, and coverage gaps, which helps the agent trust and interpret the data.

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?

Three sentences, each front-loaded with essential information: purpose, caveat about MW, filter options, and additional metadata. No waste; every clause earns its place.

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?

For a 12-parameter tool with no output schema, the description covers the high-level purpose and some behavioral traits but falls short on parameter guidance and does not explain pagination or result structure. The note about source metadata is helpful but does not compensate for the missing parameter details.

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?

Schema coverage is 0%, so the description carries the full burden. It mentions filtering by region, country, technology (presumably fuel), status, and linked ticker (symbol), covering roughly half the parameters. Key parameters like kind, limit, offset, search, sourceId, loadClass, and historical are not explained, missing a large part of the schema.

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?

States a specific verb+resource: retrieves public generation interconnection queues, large-load requests, existing generation and utility context. Distinguishes itself from siblings like power.summary, power.coverage, and power.history by emphasizing that it covers public source data with evidence and revisions.

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?

Explicitly says filtering is possible by region, country, technology, status, or linked ticker, giving clear conditions for narrowing results. However, it does not name which sibling tools to use for alternative scopes (e.g., power.history for historical benchmarks), leaving some ambiguity.

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