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get_season

Determine the current season for any date and location. Returns season name (spring, summer, autumn, winter) with data-driven accuracy.

Instructions

get season — Data & Weather tool. Costs $0.001 USDC via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsNoTool parameters as JSON object
Behavior1/5

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

No annotations are provided, so the description carries full responsibility. It only states it's a Data & Weather tool and the cost; it does not disclose whether it is read-only, what data it returns, what input it expects, or any side effects. The agent has no idea what the tool actually does beyond the name.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very short and includes a useful cost detail, but the first sentence just restates the tool name and category. It is concise but under-specified; the brevity is not appropriately structured because it lacks essential information about the tool's function.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's likely need for parameters (date, location) and the lack of an output schema or annotations, the description is completely insufficient. It does not explain the return value, expected inputs, or use case, making it impossible for an agent to understand the tool's full context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema defines a single generic 'params' object with no specific fields, and the description adds no parameter details. The schema description 'Tool parameters as JSON object' is a placeholder, and the description does not compensate by explaining what parameters are needed (e.g., date, location). The agent cannot determine how to invoke the tool correctly.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'get season — Data & Weather tool' clarifies the general domain (weather) but leaves the exact function ambiguous. It does not explain what 'season' refers to (e.g., meteorological season for a date/location) or distinguish it from sibling tools like get_weather or get_forecast. It is more than a tautology but still vague.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool or how it compares to alternatives. It only mentions cost, not context or exclusions. There is no 'when to use' vs 'when not to use' language.

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

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