GENESIS* SERVICE VERIFY
service_verifyPreflight a public machine service before purchase. Price: $0.005 USDC via x402 on Base mainnet.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| input | No | ||
| budget | No | ||
| endpoint | No | ||
| candidates | No | ||
| required_fields | No |
service_verifyPreflight a public machine service before purchase. Price: $0.005 USDC via x402 on Base mainnet.
| Name | Required | Description | Default |
|---|---|---|---|
| input | No | ||
| budget | No | ||
| endpoint | No | ||
| candidates | No | ||
| required_fields | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden, and it does add valuable operational context: a per-call cost of $0.005 USDC and the payment rail (x402 on Base mainnet). However, it says nothing about what the verification actually checks, whether the call is read-only, what happens on a failed or unreachable service, or latency/rate behavior.
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?
Two short, front-loaded sentences with no filler; the core purpose leads and the cost follows. It is efficient, though arguably under-specified rather than wasteful.
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 5-parameter tool with no annotations and no output schema, the description is materially incomplete: it does not explain parameter roles, the shape of a verification result, or expected failure modes. The payment detail is a useful start but far from sufficient.
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?
There are 5 parameters (input, budget, endpoint, candidates, required_fields) at 0% schema description coverage, so the description must compensate and it does not. It mentions neither the meaning of 'candidates'/'required_fields' nor the units/currency of 'budget', leaving every parameter undocumented.
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?
States a specific action (preflight/verify) and resource (public machine service) with a clear timing qualifier, 'before purchase'. This implicitly distinguishes it from the post-purchase sibling delivery_verify, but it never names or contrasts any sibling explicitly.
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 phrase 'before purchase' gives an implied usage window and implies the tool is a gating step, but it offers no explicit when-not guidance or named alternatives (free_diagnostic, service_compare, purchase_decision). Usage must be inferred from context.
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.