get_price_summary

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

No annotations provided, so the description bears full responsibility for behavioral disclosure. It mentions the return type (summary) but omits side effects, permissions, or behavior on missing data. The tool is likely read-only, but the description does not confirm.

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 two sentences, front-loaded with purpose, and all words contribute. It is concise but could be slightly more structured (e.g., listing returned fields explicitly).

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?

The tool is simple with 2 parameters and an output schema, so the description need not detail returns. However, it misses explaining that 'state' is optional and affects market filtering. Overall, it provides a minimal but adequate context for a straightforward tool, falling short on optional parameters.

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?

Schema description coverage is 0%, so the description must compensate. It mentions 'commodity' implicitly and that results span 'all markets', but fails to clarify the 'state' parameter is optional or explain parameter formats. This adds minimal value beyond the schema.

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 returns a statistical summary (average, lowest, highest) of a commodity's price across all markets. It uses specific verbs and resources, and the purpose is distinguishable from sibling tools like get_commodity_price or compare_markets.

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?

No explicit guidance on when to use this tool vs alternatives. The description implies it's for aggregate statistics across markets but doesn't mention circumstances or prerequisites, leaving the agent to infer usage.

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