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create_product

Create new products for usage-based billing and metering in the Pulse platform by defining product names, types, and descriptions.

Instructions

Create a new product for usage metering

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesProduct name
typeNoProduct type (e.g. 'saas', 'api')
descriptionNoProduct description
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 creates a product but doesn't disclose behavioral traits such as required permissions, whether the operation is idempotent, what happens on failure, or the format of the response (since no output schema exists). For a mutation tool with zero annotation coverage, this is a significant gap in transparency.

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 a single, efficient sentence that directly states the tool's purpose without unnecessary words. It's appropriately sized and front-loaded, with every part earning its place by specifying the action, resource, and context.

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

Completeness3/5

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

Given the tool's complexity (a creation operation with 3 parameters), lack of annotations, and no output schema, the description is minimally adequate. It covers the basic purpose but lacks details on behavior, usage context, and response format. It meets the minimum viable threshold but has clear gaps in completeness for a mutation tool.

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 no parameter-specific information beyond what's in the input schema, which has 100% coverage with clear descriptions for name, type, and description. Since schema_description_coverage is high, the baseline is 3. The description doesn't provide additional context like example values for 'type' or constraints beyond the 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 the action ('Create') and resource ('new product'), specifying it's for 'usage metering'. This distinguishes it from other creation tools like create_customer or create_meter by focusing on products. However, it doesn't explicitly differentiate from get_product or list_products, which would require more specificity about the creation context.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing a customer or meter first), when not to use it (e.g., for updating existing products), or refer to sibling tools like get_product or list_products for related operations. Usage is implied only by the verb 'Create'.

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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