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product_pricing_intelligence

Analyze product pricing data by submitting a free-text objective. Delivers actionable pricing intelligence through a domain agent.

Instructions

Run the product domain agent action pricing_intelligence.

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, so the description carries the full burden. It states the tool routes through a dispatcher but does not disclose whether it is read-only or destructive, what side effects occur, or any error conditions. The term 'action' implies some operation, but behavioral traits are lacking.

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

Conciseness5/5

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

The description is concise, consisting of two sentences and an argument list. It is well-structured and front-loaded with the core purpose, avoiding unnecessary details.

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

Completeness4/5

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

Given that an output schema exists, the description does not need to explain return values. However, it could be more complete by describing what the pricing intelligence action accomplishes or its typical use cases. As is, it is adequate but lacks some context about the agent's behavior.

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

Parameters5/5

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

The input schema has 0% description coverage, so the tool's description must compensate. It does so effectively by explaining that 'message' is a free-text objective and 'inputs' is an optional JSON string for structured inputs. This adds significant meaning beyond the bare schema.

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 that the tool runs the product domain agent action `pricing_intelligence`, providing a specific verb and resource. However, it does not distinguish itself from sibling tools like `commerce_pricing_intelligence`, and the exact output or functionality of pricing intelligence is not explained.

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?

The description mentions routing through a domain-agent dispatcher under JWT/tenant/company scope, which gives context on authorization but provides no explicit guidance on when to use this tool versus alternatives or when not to use it. No exclusions or comparisons are given.

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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