get_commodity_volatility_alerts

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

Since annotations are empty, the description bears full responsibility. It discloses key behaviors: flags commodities based on 24-hour price change exceeding normal ranges or extreme levels, and outputs price, change percentage, trend, and risk assessment. This is transparent for a simple get tool.

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 at four sentences, each providing distinct information: purpose, behavior, user question, and use cases. It is front-loaded with the core action and returns. No wasted words.

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 tool's simplicity (no inputs, no output schema), the description fully covers what the tool does, what it returns, and why it would be used. There are no gaps in information.

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?

With zero parameters, the input schema is trivial (100% coverage). According to guidelines, baseline is 4 when no params exist. The description adds value by explaining the output fields and logic, which further clarifies the tool's behavior.

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 uses a specific verb ('Get alerts') and resource ('commodities experiencing abnormal price volatility'). It clearly distinguishes from siblings like commodity_price_monitor by focusing on volatility alerts rather than general price monitoring. The tool's purpose is unmistakable.

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 states when to use the tool (procurement timing, trader opportunities, supply chain cost changes) and indirectly implies it is for abnormal volatility events. However, it does not mention alternatives or when not to use it, which would strengthen guidance.

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