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get_weather

Get real-time weather for any location, including current conditions, temperature, and forecasts. Pay only $0.001 USDC per call via x402.

Instructions

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsNoTool parameters as JSON object
Behavior2/5

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

No annotations are provided, so the description carries full burden. It discloses a monetary cost ($0.001 USDC via x402), which is useful, but gives no information about side effects, required location data, or rate limits. The single behavioral trait is insufficient for an agent to understand the tool's operation.

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 extremely short, which is efficient, but it sacrifices necessary information. The cost mention is a useful single detail, but the redundancy of 'get weather' and 'Data & Weather tool' wastes a clause. It is not well-structure for agent decision-making.

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 no annotations, no output schema, and a generic param wrapper, the description must compensate by explaining inputs, output, and behavior. It does none of that. Weather tools typically require location and can return multiple data types, so the absence of any such detail makes this tool unusable for an agent without outside knowledge.

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 only defines a generic 'params' object with description 'Tool parameters as JSON object,' which reveals nothing about actual required or optional fields. The description similarly adds no parameter details, leaving the agent with zero guidance on what to pass. Effective schema coverage is near zero despite the 100% literal coverage.

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

Purpose2/5

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

The description says 'get weather — Data & Weather tool,' which essentially restates the tool name without specifying scope, input requirements, or what weather data is returned. It does not distinguish from sibling tool 'get_forecast' which likely has overlapping functionality.

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?

There is no guidance on when to use this tool versus alternatives like 'get_forecast' or 'get_air_quality'. The description only mentions cost, not use cases or prerequisites.

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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