get_conditions_now

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

The description fully discloses the tool's purpose and output (current snapshot, specific data fields). It does not mention any behavioral traits like data freshness or caching, which could be useful but are not critical given the tool's simplicity and lack of parameters or annotations.

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 extremely concise: two sentences. The first sentence defines the purpose, the second elaborates on output and usage. No redundancy or extraneous information.

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 parameters and an output schema, the description covers all needed context: what the tool does, what it returns, and when to use it. It is self-contained for an agent to select and invoke correctly.

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?

There are zero parameters, so schema description coverage is 100%. The description adds value by detailing what the snapshot contains (Kp, Bz/Bt, solar wind, NOAA scales, etc.), which goes beyond the empty 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?

The description clearly states 'Single-call snapshot of current space weather' and lists the specific data returned (Kp, Bz/Bt, solar wind, NOAA scales, geomagnetic storm status, summary). It distinguishes itself from sibling tools by positioning as the best first call for 'what's space weather doing right now' questions.

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 description explicitly tells when to use: 'Best first call for "what's space weather doing right now / will I see aurora" questions.' It implies that for detailed or specific parameters, other sibling tools like get_kp_index or get_solar_wind would be more appropriate, though it does not name alternatives.

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