Register this AI agent as a customer and receive an API key. Required once before purchasing. The api_key is returned only once — store it.
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | Agent name | |
| Yes | Contact email (agent's or owner's) | ||
| framework | No | Agent framework | |
| callback_url | No | Optional webhook URL for content delivery |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry the full burden of disclosure. It discloses the critical trait that the API key is returned only once and must be stored. However, it does not explain behavior on repeated calls, response format, or other side effects. The one-time key warning is valuable but leaves gaps.
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 tight sentences with no fluff. Each sentence adds necessary info: what the tool does, when to use it, and the critical one-time key warning. The em-dash highlights the storage requirement effectively.
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?
The tool has 4 parameters, no output schema, and no annotations. The description covers the core action, the timing, and the one-time key warning. It does not describe error cases or repeated-call behavior, but for a simple registration step it is substantially complete.
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?
Schema coverage is 100% and every parameter already has a clear description in the input schema (e.g., 'Agent name', 'Contact email'). The description adds no extra meaning beyond what the schema provides, so the baseline of 3 is appropriate.
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 uses a specific verb ('Register') and resource ('this AI agent') and clearly states the outcome ('receive an API key'). This distinguishes it from siblings like purchase_product or find_products, which are about browsing or purchasing, not registration.
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?
'Required once before purchasing' explicitly tells the agent when to use this tool and implies it should not be called again. It provides strong timing context, though it does not name alternative tools or describe when not to use it beyond the 'once' constraint.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools are clearly distinct: browsing, specific product details, network status, genesis artifacts, purchase, and registration are separate actions. There is slight overlap between browse_catalog and get_product_details (one lists all, one gets one), but their scope is different enough to avoid misselection.
All tool names follow a consistent verb_noun pattern in snake_case: browse_catalog, get_genesis_status, get_network_status, get_product_details, purchase_product, register_agent. This is uniform and predictable.
With 6 tools, the server is well-scoped. It covers the essential operations for an AI-commerce platform without being bloated or sparse. Each tool serves a necessary purpose in the customer lifecycle.
The tool surface covers the core flow: registration, browsing, product details, network status, and purchasing. It lacks order history or a way to list owned products, but the purchase returns a download URL, so agents can still complete transactions. Minor gaps that do not break the primary workflow.