create_product
Create new products in usage and billing systems to manage pricing, plans, and metered services for customer accounts.
Instructions
Create product
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Create new products in usage and billing systems to manage pricing, plans, and metered services for customer accounts.
Create product
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden for behavioral disclosure. 'Create product' implies a mutation operation but reveals nothing about permissions, side effects, error conditions, or response format. For a creation tool with zero annotation coverage, this leaves critical behavioral traits unspecified, though it doesn't contradict any annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise with just two words, but this brevity borders on under-specification rather than efficient communication. While front-loaded, it lacks the substance needed to be truly helpful. Every word earns its place, but more words are needed to provide adequate context.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's mutation nature, lack of annotations, and no output schema, the description is incomplete. It fails to explain what 'product' means, what data might be returned, or any behavioral nuances. For a creation tool in a context with multiple product-related siblings, this minimal description leaves too many gaps for effective use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description doesn't add parameter details, which is appropriate given the absence of parameters. It meets the baseline for tools without parameters by not misleading or omitting necessary information.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Create product' is a tautology that merely restates the tool name without elaboration. It specifies the verb 'create' and resource 'product', but lacks any detail about what a 'product' entails in this context or how this creation differs from sibling tools like create_product_item. This minimal statement provides basic direction but fails to distinguish purpose meaningfully.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. With siblings like create_product_item (for sub-items), delete_product, and get_products, the description offers no context on prerequisites, sequencing, or appropriate scenarios. The agent must infer usage from tool names alone, which is insufficient for informed selection.
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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curl -X GET 'https://glama.ai/api/mcp/v1/servers/BACH-AI-Tools/bachai-usage-and-billing'
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