get_era5_weather

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

With no annotations, the description carries the full transparency burden. It discloses useful traits: no API key, hourly resolution, time range, and variable categories. However, it omits return format, units, rate limits, or error behavior, leaving significant behavioral gaps.

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?

A single, compact sentence that front-loads the core purpose ('ERA5 weather reanalysis via Open-Meteo') and packs essential details (variables, time range, no API key) without any redundancy.

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?

Given no output schema, the description should clarify return values. It conveys the data source, variables, and time range effectively, but does not specify output format, units, or aggregation. However, the tool is relatively simple and the schema covers parameter semantics, so the missing bits are minor.

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 100%, so baseline is 3. The description mentions variables and time range but does not add substantial meaning beyond the already-detailed schema descriptions (e.g., latitude/longitude ranges, variable definitions, date formats).

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?

The description clearly identifies a specific resource (ERA5 weather reanalysis via Open-Meteo) and scope (hourly wind, solar, temperature; 1940 to ~5 days ago). It distinguishes itself from siblings like get_weather_forecast by explicitly stating 'reanalysis' rather than forecast.

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?

The time range '1940 to ~5 days ago' implies historical use, and 'reanalysis' suggests not for real-time forecasts. However, there is no explicit when-to-use guidance, exclusions, or mention of alternatives like get_weather_forecast or get_solar_irradiance, so usage is only implied.

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