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

No annotations are provided, so the description carries the full burden and does so well: it discloses the historical add-on boundary (last 3 years free, older days refused with 'historical data this old' reported per site), request billing (one API request per site+day, cached on repeats), the 400 site-days cap, and auth tier. It even sketches the return shape (columns at top level, rows as ordered arrays).

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?

Very long, but front-loaded with purpose and organized by concern (sites, dates, granularity, columns, variables, catalogue, cost). The turbine catalogue is bulky yet necessary because the schema explicitly points to it in the description; the rest is dense with no obvious filler.

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 7-parameter tool with no annotations and no output schema, the description covers nearly everything an agent needs: date rules, granularity trade-offs, cost model, failure modes, output layout, and the turbine catalogue. Minor gap: units and timezone parameters are never addressed.

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?

Top-level schema description coverage is 0%, so the description must compensate, and it largely does: turbine_model is tied to an inline catalogue (with the default SWT120/3600), roughness enum values and the farmland default are spelled out, hub_height default 100 m is stated, and the exactly-one-of turbine_count/total_capacity rule is explicit. It leaves units, timezone, and label unexplained, so not a 5.

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?

Opens with a specific verb+resource+scope: 'Production of wind farms, past and forecast, for up to 20 sites.' This clearly separates it from siblings like get_solar_production (different resource) and get_weather_history (production output vs raw weather).

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?

Gives rich context on when the call is viable: date window (20 years back to 4 days ahead), per-call caps (14 days hourly, 366 days daily/monthly, 400 site-days), and the renewables-tier key requirement. It never explicitly names an alternative sibling or a 'use X instead when' rule, so it stops short of a 5.

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