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robobobby
by robobobby

compare_weather

Compare current weather conditions between two Danish locations to help decide between destinations or assess regional differences.

Instructions

Compare current weather between two Danish locations side by side. Useful for deciding between destinations or comparing conditions across the country.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
location1YesFirst location (city name, postal code, or coordinates)
location2YesSecond location
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. While it mentions 'current weather' and 'Danish locations', it doesn't disclose important behavioral traits like data sources, update frequency, error handling, or what specific weather metrics are compared. The description is too high-level for a tool with no annotation coverage.

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

Conciseness5/5

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

Two concise sentences that are front-loaded with the core functionality. Every sentence earns its place by providing purpose and usage context without any wasted words or redundancy.

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

Completeness3/5

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

Given 2 parameters with 100% schema coverage but no annotations and no output schema, the description is adequate but has clear gaps. It explains the comparison purpose well but doesn't address what weather metrics are compared, how results are presented, or any limitations of the comparison functionality.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already documents both parameters thoroughly. The description adds no additional parameter semantics beyond what's in the schema - it doesn't clarify format expectations, validation rules, or provide examples. Baseline 3 is appropriate when schema does the heavy lifting.

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

Purpose5/5

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

The description clearly states the specific action ('Compare current weather'), resource ('between two Danish locations'), and scope ('side by side'). It explicitly distinguishes from sibling tools by focusing on comparison rather than single-location current weather or forecasts.

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

Usage Guidelines4/5

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

The description provides clear context for when to use this tool ('Useful for deciding between destinations or comparing conditions across the country'), which implicitly suggests alternatives like current_weather for single locations. However, it doesn't explicitly state when NOT to use it or name specific alternative tools.

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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