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get_genesis_status

GENESIS-BLOCK: 100 one-of-one founding artifacts of the AI economy. Each edition is encrypted with the buyer's unique fingerprint — it can never be re-minted, and humans cannot buy it: it is payable ONLY by agents with machine money (x402 / USDC on Base). Price rises with each serial (001=$10 ... 100=$500). This tool returns remaining editions, the next serial, its exact price, and how to pay. Public provenance ledger included. No auth required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.1/5.0
Behavior4/5

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

There are no annotations, so the description carries the full transparency burden. It discloses that no auth is required, that it is a read-like operation (returns data), and includes the provenance ledger. It does not explicitly state it has no side effects, but the language strongly implies it, making it sufficient for a status tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is reasonably concise but includes promotional/background sentences (e.g., 'GENESIS-BLOCK: 100 one-of-one founding artifacts...') before the core functional statement. This adds context but slightly delays the direct purpose. Still, every sentence contributes useful information about pricing and access rules.

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

Completeness4/5

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

For a low-complexity tool with no parameters and no output schema, the description covers the essential return values (remaining editions, next serial, price, payment info) plus the provenance ledger and auth requirement. It because it gives enough for an agent to decide whether to invoke it, though it doesn't detail the exact response format.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With zero parameters and 100% schema coverage (empty schema), the baseline is 4. The description adds context about output values but not about parameters since there are none. It doesn't explicitly state 'no parameters required,' but the empty schema makes that evident.

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

Purpose5/5

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

The description explicitly states 'This tool returns remaining editions, the next serial, its exact price, and how to pay,' which is a specific verb and precise resource scope. It clearly distinguishes itself from siblings like get_network_status or browse_catalog by focusing on the GENESIS-BLOCK status.

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

Usage Guidelines3/5

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

The description implies when to use the tool (e.g., when needing Genesis Block availability and payment info) but does not explicitly state when to use it over siblings or mention exclusions. It lacks direct guidance like 'use this instead of X' or 'do not use for browsing catalog.'

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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TDQS

A4.1/5.0
Disambiguation4/5

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.

Naming Consistency5/5

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.

Tool Count5/5

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.

Completeness4/5

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.

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