Skip to main content
Glama

commerce_pricing_landscape

Destructive

Analyze pricing and market dynamics by submitting an objective to the domain agent, with optional structured inputs for targeted insights under your tenant and company scope.

Instructions

Run the commerce domain agent action pricing_landscape.

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
inputsNo{}
messageNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior3/5

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

The description adds useful context beyond annotations by explaining that it routes through the domain-agent dispatcher under JWT, tenant, and company scope. However, although annotations mark destructiveHint=true, the description does not disclose what side effects or mutations the agent action might perform, leaving a meaningful gap.

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, front-loaded, and well-structured with clear Args sections. There is no fluff, though the brevity comes at the cost of missing action-specific context.

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?

With a large sibling toolset including closely related commerce tools, the description is too generic to give an agent enough context to select and invoke this tool correctly. It omits what pricing_landscape actually accomplishes, what inputs trigger useful behavior, and when the dispatcher-style invocation is preferable to direct commerce tools.

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

Parameters2/5

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, but it only restates that message is a free-text objective and inputs is an optional JSON string. It provides no information about what structured inputs are expected, what keys are valid, or what kind of objective should be supplied.

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 a specific commerce domain agent action named `pricing_landscape`, with a concrete verb and resource. However, it does not explain what 'pricing landscape' means or how this differs from similar-looking siblings like commerce_pricing_intelligence or commerce_price_optimization_run.

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 is given about when to use this tool versus alternatives. The only usage signal is 'free-text objective', which does not help an agent choose between this and the many similar commerce_* tools in the sibling list.

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

Deploy Server

Other Tools