Pay-per-call via standard x402 v1 (USDC on Base): the AI-Agent Starter Pack - x402 endpoint catalog with copy-paste curl, plus an 8-point agent-readiness checklist. Price 0.50 USDC on Base.
| Name | Required | Description | Default |
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No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of disclosing behavioral traits. It does disclose that the call is pay-per-call via x402 v1 (USDC on Base) with a fixed price of 0.50 USDC, which is critical for an agent to know cost implications. However, it does not explicitly state that the operation is read-only or side-effect-free, nor does it describe the output format. The cost disclosure is valuable but not complete.
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 concise, using two short sentences to convey the tool's content (catalog and checklist) and the payment requirement. It front-loads the pay-per-call aspect, which is the most critical operational detail. No redundant or filler information is present.
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?
For a tool with no parameters and no output schema, the description adequately covers what it does and the cost. It tells the agent it provides an endpoint catalog with curl commands and a checklist, which is sufficient for an agent to decide if it needs this information. The lack of detailed output formatting is acceptable given the informational nature.
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 tool has zero parameters, so the schema is trivially complete (coverage 100%). The description doesn't need to explain parameters, and the baseline for 0 parameters is 4. It appropriately focuses on what the tool returns rather than parameter syntax.
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 provides the AI-Agent Starter Pack, specifically an x402 endpoint catalog with copy-paste curl and an 8-point readiness checklist. While it lacks an explicit action verb like 'retrieve' or 'get', the purpose is unambiguous and distinguishable from sibling tools, which are separate utilities like crypto_price or web_fetch.
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?
There is no guidance on when to use this tool versus alternatives. It does not mention any conditions, scenarios, or exclusions, leaving the agent to infer that it is informational and likely used to obtain x402 endpoint examples. Without explicit usage context, agents may not know when to choose it over other tools.
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.
There is clear overlap between agent_site_audit/agent_site_audit_5 and wallet_watch_pro/wallet_watch_snapshot, which differ only by scale. Descriptions clarify the distinction, but the agent must carefully parse limits to choose the right one. Other tools are distinct.
Tool names mix conventions: some start with a verb (generate_llms_txt, web_fetch), others are noun-first compounds (crypto_price, storefront_catalog, wallet_watch_*). Variant suffixes like _5, _pro, _snapshot are not uniform. Overall readable but not consistent.
With 8 tools, the count sits comfortably within a well-scoped range. Each tool has a specific purpose, though some duplicates (audit variants, wallet variants) could be consolidated. Still, the number is appropriate for a mixed utility toolkit.
The server covers its stated domains—site auditing, crypto prices, LLM file generation, storefront catalog, wallet snapshots, and web fetching. There are minor gaps (e.g., no batch crypto pricing, no transaction history beyond recent), but for a pay-per-call toolkit the surface is reasonably complete.