trust_check
Verification-backed trust score + signals for a service before you pay it. Paid $0.01 via x402 (_meta['x402/payment']).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes |
Verification-backed trust score + signals for a service before you pay it. Paid $0.01 via x402 (_meta['x402/payment']).
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It does disclose a concrete behavioral trait: the $0.01 x402 payment requirement. It also hints at 'verification-backed' processing. However, it lacks details on failure behavior, refundability, or response format, so transparency is partial.
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 highly concise: two short sentences, no filler. It front-loads the core purpose and then adds the payment detail. Every word contributes meaning.
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 simple (one parameter, no output schema), but the description does not explain what the returned 'trust score + signals' look like, nor does it address alternatives among siblings. It gives enough context for a basic understanding but leaves gaps about expected output and selection.
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 schema has 0% description coverage, and the tool description does not elaborate on the 'url' parameter. The only hint is that the tool operates on 'a service,' implying the URL identifies that service. This is insufficient to fully understand parameter expectations.
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 a 'Verification-backed trust score + signals for a service before you pay it.' This specifies the exact function (trust assessment), the object (a service), and the context (pre-payment). It distinguishes from siblings like erc8004_reputation by emphasizing verification and pre-payment use.
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 you pay it' gives clear contextual guidance on when to use the tool. It also discloses the cost, which is relevant for usage decisions. However, it does not explicitly mention alternatives or exclusion cases, so it falls short of a 5.
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.
Multiple tools have overlapping purposes: discover and smart_discover both find services but differ only by price and method; procure and route both buy services with failover; erc8004_reputation and trust_check both assess trust. This creates ambiguity in tool selection.
Tool names mix bare verbs (discover, procure, route), compound verbs (smart_discover, trust_check), and noun-style names (erc8004_reputation). No consistent verb_noun or action_resource pattern is followed.
Seven tools is a reasonable count for the domain of service discovery and procurement. However, some tools are near-duplicates, so the count feels slightly inflated but not excessive.
The set covers discovery, trust evaluation, and procurement. Missing pieces include service registration/management and perhaps a way to query past transactions, but core consumer workflows are represented.