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

With no annotations, the description carries the full burden. It discloses the flag logic (24-hour price change threshold and extreme levels) and return fields (current price, change percentage, trend, risk assessment). It lacks explicit read-only assurance or data freshness caveats, but for a get-style alert tool this is decent coverage.

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 well-structured and front-loaded with the core purpose. Every sentence adds value—purpose, behavior, return fields, and target users. It is concise at around 70 words without redundant repetition of the tool name or schema.

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?

For a tool with no parameters, no output schema, and no annotations, the description covers all essential aspects: what it does, what data it returns, the question it answers, and who uses it. This is sufficient for an agent to select and invoke the tool 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?

The tool has zero parameters, so the schema is trivially 100% covered. No parameter descriptions are needed, and the description doesn't attempt to explain any. Baseline for 0 params is 4, which is appropriate here.

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?

Description clearly identifies the tool as 'Get alerts for commodities experiencing abnormal price volatility' and specifies the abnormality criteria (24-hour change beyond normal ranges or extreme levels). This distinguishes it from sibling tools like commodity_price_monitor, which likely monitors general price levels rather than volatility alerts.

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?

Provides clear context on who should use it (procurement teams, commodity traders, supply chain managers) and the specific question it answers, but does not explicitly state when to avoid it or compare with alternatives. Since the audience and purpose are well-defined but exclusions are missing, it earns a 4 rather than a 5.

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