Get HF band conditions

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

With no annotations, the description takes on the full burden. It discloses key behaviors: returns both a summary and raw SFI/K/A numbers, uses a heuristic formula, and relies on server local time for day/night bias (not the user's location). It also clearly states the approximation caveat. It could be more explicit about output formatting but the core transparency is strong.

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?

The description is compact yet information-dense. Each sentence earns its place: functionality, use cases, return contents, and caveats. It is front-loaded with the core purpose and remains readable without 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 the lack of annotations and output schema, the description does a good job of setting expectations: it explains the data sources, the per-band coverage, the day/night bias limitation, and the heuristic nature. It could be slightly more explicit about the output structure (e.g., text vs. structured), but it's sufficient for an agent to understand what it will receive.

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 has zero parameters and an empty schema. Per the baseline for 0 params, a score of 4 is appropriate. The description adds no parameter-related meaning because there are none, and it correctly focuses on what the tool derives and returns.

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 states a specific verb ('Gives a plain-English read on HF band conditions') and resource (HF bands per frequency), and clearly distinguishes itself from the lower-level sibling tools by focusing on an interpreted 'is the radio open' conclusion. It also lists the specific bands covered, making its scope unambiguous.

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 provides when-to-use scenarios ('are bands open', 'how's propagation', 'what band should I use') and a when-not (not a substitute for real MUF/VOACAP modeling). However, it does not name alternative sibling tools explicitly, so agents might not know that get_solar_indices is for raw indices.

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