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Glama

product_pricing_intelligence

Destructive

Execute pricing intelligence analysis for products. Provide a message with optional structured inputs to run the product domain agent action.

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
inputsNo{}
messageNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.1/5.0
Behavior2/5

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

The description fails to mention any potential side effects, read/write behavior, or destructive capabilities, even though the annotations indicate destructiveHint is true. It provides no indication of what the action does to the system or data, leaving the agent without behavioral expectations beyond the minimal routing note.

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 short sentences plus a compact argument list. It avoids unnecessary detail or repetition, making it efficient and easy to scan.

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?

The description lacks essential context for an agent to decide when to invoke this tool. It does not explain what pricing intelligence does, what outputs are returned, or how it fits into the product domain, leaving the agent with insufficient information to make a proper selection among many similar 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?

The parameters are described only as 'Free-text objective' and 'Optional JSON string of structured inputs,' which adds minimal meaning over the schema's bare names. There is no elaboration on what kind of structured inputs are expected, what keys or values are valid, or how they relate to the action's behavior.

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

Purpose2/5

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

The description essentially restates the tool name ('Run the product domain agent action pricing_intelligence') without elaborating on what pricing intelligence actually accomplishes. It does not distinguish the tool's specific function from other domain actions beyond the name, making the purpose vague and dependent on prior knowledge.

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

Usage Guidelines1/5

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

There is no guidance on when to use this tool versus any of the many sibling tools, such as when pricing intelligence is needed versus other product domain actions. It only mentions routing through a dispatcher with JWT/tenant/company scope, which is generic infrastructure context, not usage direction.

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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