prepare_verify_evidence_purchaseAfter a successful free precheck, create or reuse a bound quote and return the exact HTTP request that will produce the x402 challenge. Do not pay until the binding, price, network, asset, payTo, and expiry match local policy.
| Name | Required | Description | Default |
|---|---|---|---|
| intent | Yes | ||
| idempotency_key | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Beyond the annotations (idempotentHint=true), the description adds that the tool 'create[s] or reuse[s] a bound quote,' reinforcing idempotency, and clarifies that it does not perform payment but only returns the request. The safety warning not to pay until policy matches is valuable additional context. No contradiction with annotations.
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 two sentences, front-loaded with the core action, and includes only high-value information. No redundant or filler content.
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 is complex with nested schema and no output schema, but the description states its main purpose and return type ('exact HTTP request'). It misses explanations of parameters and the meaning of a 'bound quote.' Given the complexity, the description is adequate but leaves some gaps.
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 description coverage is 0%, so the description must compensate, but it does not explain the input parameters like idempotency_key, intent, or spend_policy. It references 'binding, price, network, asset, payTo, and expiry' which are not directly mapped to schema properties and appear to relate to the quote response rather than the request inputs. The parameter names are somewhat self-explanatory, but the description adds minimal clarity.
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 ('create or reuse') and resource ('bound quote') and clearly states the deliverable: 'return the exact HTTP request that will produce the x402 challenge.' It distinguishes from sibling tools like quote_verify_evidence or verify_evidence by focusing on preparing the HTTP request rather than executing it.
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 sets a clear context: 'After a successful free precheck.' It also provides a critical usage constraint: 'Do not pay until the binding, price, network, asset, payTo, and expiry match local policy.' However, it does not explicitly mention alternatives or exclusions relative to sibling 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.
The tools mostly have distinct purposes, but there is overlap between quote_verify_evidence and prepare_verify_evidence_purchase, both involving quotes, and describe_verify_evidence also mentions validation. This could cause some confusion for agents deciding which tool to call.
All tool names follow a verb_noun pattern in snake_case, which is consistent. The only minor deviation is get_revenue_goal_status, which is longer but still verb_noun. Overall, the naming is predictable.
Five tools is well-scoped for a verification utility with a payment flow. Each tool serves a distinct step in the workflow without unnecessary bloat.
The tool set covers the full lifecycle from description and status checks through quoting, purchase preparation, and final verification. No obvious gaps exist for the stated purpose.