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commerce_price_optimization_run

Run price optimization by specifying a free-text objective and optional structured inputs to adjust pricing strategies.

Instructions

Run the commerce domain agent action price_optimization_run.

Routes through the platform's domain-agent dispatcher under your JWT, tenant, and company scope.

Args: message: Free-text objective for the action. inputs: Optional JSON string of structured inputs for the action.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageNo
inputsNo{}

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations provided, so the description carries full burden for behavioral disclosure. It reveals routing details (JWT/tenant/company) but does not explain whether the action is read-only or destructive, side effects, rate limits, or what happens during execution. This is insufficient for an action tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is relatively short and front-loaded with the core purpose. The args are listed with brief explanations. While not overly verbose, it could be slightly more concise by omitting the routing implementation detail (JWT/tenant/company scope) unless critical.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite having an output schema (as per context signals), the description does not explain return values or expected outputs. It fails to clarify prerequisites, supported input formats, or error conditions. For a complex domain agent action, this leaves significant gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, requiring the description to explain parameters. It describes 'message' as a free-text objective and 'inputs' as an optional JSON string of structured inputs, adding some meaning beyond the schema defaults. However, it lacks detail on expected format or examples, which would be beneficial.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it runs the 'price_optimization_run' domain agent action and routes through a dispatcher with JWT/tenant/company scope. However, it does not differentiate from sibling commerce tools like commerce_pricing_intelligence or commerce_pricing_landscape, leaving ambiguity about when to use this specific tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives. The description lacks any when-to-use or when-not-to-use context, which is critical given the large number of sibling tools in the commerce domain.

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

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