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

With no annotations provided, the description carries the full burden of behavioral disclosure. It discloses the output (current price and 24-hour change percentage) and important tier limitations. This is sufficient for a read-only monitoring tool, though it omits details like update frequency or authentication requirements, which are not critical for basic usage.

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 concise, starting with the core purpose and then providing a structured list of covered commodities. While the commodity list is lengthy, it is essential for scope clarification and not redundant. The front-loading is effective, and every sentence adds value.

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 simple tool with no parameters and no output schema, the description is fairly complete: it explains the purpose, the tracked commodities, the return values, and tier limitations. The only notable gap is that the exact set of 5 free-tier commodities is not specified, but this is not essential for initial invocation.

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, and the schema is empty. Per the rubric, 0 params sets a baseline of 4. The description adds no parameter semantics because there are none to explain, but it does clarify that the commodity set is determined by the user's tier, which is useful context.

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 clearly states the tool monitors real-time commodity prices and price volatility for supply chain cost management. It enumerates the specific categories and commodities covered, and explicitly states the return format (current price and 24-hour change percentage). This distinguishes it from sibling tools like get_commodity_volatility_alerts, which focus on alerts rather than price levels.

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 provides clear context for when to use the tool ('for supply chain cost management') and notes tier restrictions (free vs paid). However, it does not explicitly contrast with alternatives or mention that volatility alerts are handled by get_commodity_volatility_alerts. The use case is clear, but exclusions are implicit rather than stated.

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