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commerce_cross_agent_insight

Execute commerce domain agent insights by submitting a free-text objective and optional structured inputs, routed through your authenticated scope.

Instructions

Run the commerce domain agent action cross_agent_insight.

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 are provided, and the description does not disclose behavioral traits such as whether the tool is read-only, destructive, requires special permissions, or has rate limits. The mention of JWT/tenant/company scope is standard and adds minimal transparency.

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 short and front-loaded with the key information. It avoids verbosity and uses an Args section for parameters. However, it could be more structured with clearer sections.

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 an output schema existing, the description is too thin to be complete. It fails to explain what 'cross_agent_insight' does, how it relates to other commerce tools, or what constitutes a successful invocation. The lack of annotations and parameter details compounds the gap.

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?

The description adds basic meaning to the two parameters: 'message' is a free-text objective, and 'inputs' is an optional JSON string. Given 0% schema coverage, this provides some value, but it lacks detail on expected input format, constraints, or examples.

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

Purpose3/5

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

The description states the tool runs a 'cross_agent_insight' action for the commerce domain, but it does not explain what this action does or what kind of insight it provides. It lacks specificity and does not differentiate from the many sibling commerce tools.

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. There is no mention of prerequisites, typical use cases, or when not to use it. The description is purely procedural.

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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