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

With no annotations, the description carries full burden for behavioral disclosure. It mentions the return of a license key and certificate URL, and that a Handshake Email is sent. However, it omits critical behavioral details such as the mandatory 'terms_accepted' requirement, the possibility of rejection, and that a Stripe charge will occur (though 'purchase' implies it). This is a meaningful gap for a financial transaction tool.

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 three concise sentences with no fluff. The first sentence states the core action, the second gives the return format, and the third provides env var tips and license type definitions. Each sentence earns its place, and the key information is front-loaded.

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 complexity (9 params, no annotations, no output schema), the description covers the basic purpose, return values, and env var usage, but omits the critical 'terms_accepted' requirement and the distinction from enterprise licensing. It also does not explain the relationship between article_id and article_url, leaving some gaps for correct usage.

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 100% coverage for all 9 parameters, including descriptions for each. The description adds some context (license type meanings, env var fallbacks) but largely repeats what is already in the schema, neither compensating for nor materially enhancing the parameter semantics.

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 clearly states the tool's function: 'Purchase a content license from the Opedd protocol using a Stripe payment method.' It specifies the resource (content license), the action (purchase), and the payment method, distinguishing it from sibling tools like purchase_enterprise_license.

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?

The description provides clear context on usage, including license types (human, ai, ai_inference) and env var fallbacks, implying when to use this tool for individual licenses. It does not explicitly mention exclusions or alternatives, but the license type breakdown and mention of enterprise licenses as a sibling suggest differentiation.

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