get_27day_outlook

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

No annotations provided, so description carries full burden. It discloses the data content (daily F10.7, Ap, Kp), the time horizon (27-day outlook), and the coarseness relative to the 3-day forecast. Lacks specifics on data source reliability or update frequency, but sufficient for a read-only outlook tool.

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 concise sentences front-load the key data types and utility. Every sentence adds value; no redundancy or fluff.

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 zero parameters and an output schema, the description fully explains what the tool provides, its time horizon, and how it fits with sibling tools. No gaps remain.

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?

Input schema has zero parameters and 100% schema coverage, so baseline is 4. Description does not add parameter-specific info but clarifies the output content, which is helpful but not required for parameter semantics.

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 states it provides a 27-day outlook of F10.7 radio flux, planetary Ap, and largest Kp. It distinguishes from the 3-day Kp forecast by noting coarser granularity and longer-range planning utility, differentiating it from siblings like get_kp_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?

Explicitly states when to use: for longer-range planning due to its 27-day look-ahead, and contrasts with the coarser 3-day Kp forecast, suggesting the alternative tool for shorter-term needs.

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