commerce_predict

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It does not indicate whether this is a read-only or mutating operation, what permissions are needed, or what side effects occur. The internal routing detail does not substitute for transparency about behavior. The existence of an output schema is not leveraged to hint at outputs.

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 short and front-loaded with the main action. The Args section is clear and concise. The detail about routing through the dispatcher is somewhat technical but not overly verbose. Overall, every sentence earns its place, though the routing sentence could be considered non-essential for an agent selecting the tool.

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 existence of an output schema, the description need not detail return values. However, the description still lacks usage guidance and behavioral details, making it incomplete for an agent operating in a complex domain with many similar tools. The parameter documentation is adequate, but the overall completeness is average.

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 description adds meaning beyond the input schema: 'message' is described as 'Free-text objective for the action' and 'inputs' as 'Optional JSON string of structured inputs'. Since the schema has 0% coverage (no descriptions in schema JSON), the description compensates well by providing these semantics. However, it could be improved by specifying expected formats or constraints for the free-text and JSON string.

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 states it runs the 'predict' action under the commerce domain agent, providing a verb and resource. However, it does not explain what 'predict' does in the commerce context (e.g., demand forecasting, price prediction), and it fails to distinguish itself from the many sibling commerce tools that have more specific names like 'commerce_demand_forecast' or 'commerce_price_optimization_run'. The purpose is clear at a high level but lacks specificity.

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 guidance is given on when to use this tool versus alternatives. The description mentions routing through the domain-agent dispatcher under JWT/tenant/company scope, which is more about authentication than usage context. With many sibling tools, the agent is left without criteria for choosing this tool over others.

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