Neuronto Payments: x402 facilitator

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

With no annotations provided, the description carries the burden of behavioral disclosure. It explains that this tool reports 'observed availability' and 'settlement counts,' suggesting it reflects current state but not necessarily real-time or cached data. It does not specify the output format or whether it causes side effects, but the nature of a status check is clear. No contradictions with annotations (none exist), so a mid-range score is appropriate.

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 a single sentence that is informative but somewhat long. It front-loads the main purpose ('What this x402 facilitator can settle right now') and includes a clear usage directive at the end. It could be slightly more concise, but every phrase adds value, so it earns a high score.

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?

Given that the input schema has no parameters and there is no output schema, the description provides a comprehensive overview of what the tool reports. It mentions key aspects like live networks, schemes, merchant status, screening state, and settlement counts. For a status-checking tool, this is nearly complete; only a note on return format (e.g., JSON structure) could be added, but other siblings likely share a pattern.

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 input schema has 0 parameters, so the description does not need to explain parameters. However, it adds value by describing the kind of information returned (e.g., networks, schemes, merchant status), which helps the agent interpret the output even without an output schema. Since there are no parameters, the baseline is 4, and the description provides useful context about the tool's scope.

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's purpose: to report the current settlement capabilities of the x402 facilitator, including live networks, schemes, merchant status, address screening, availability, and settlement counts. It uses specific verbs ('settle', 'advertising') and resource names, distinguishing itself from siblings (e.g., settlement_price is likely for querying prices, not status).

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?

It explicitly instructs to call this tool before advertising a price, because a network that cannot settle is withdrawn here first. This provides a clear when-to-use directive and implies it should be checked prior to other operations like settlement_price, effectively routing the agent to this tool at the right time.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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

With no annotations, the description carries the burden of behavioral disclosure, and it does add meaningful context: resources are included only after a real settlement and a probe, and they are not merely owner claims. This clarifies data provenance and curation behavior beyond what the schema or name conveys.

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 tightly written sentences with no filler. The description front-loads the operation and scope, then adds the key data-quality caveat. Every sentence earns its place.

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?

Although there is no output schema, the description enumerates the fields an agent should expect: URL, terms, method, and input/output shapes where published. It also explains the inclusion criteria. Minor gaps such as pagination or default limit remain, but they are not critical for a simple search tool.

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 67%, with query and network already explained in the schema. The description does not add parameter-level meaning, and the limit parameter has no description beyond its name and bounds, but the schema is sufficient for basic use.

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 states a specific verb and resource ('Search the catalogue of resources that have been paid for through this facilitator') and enumerates the kind of data returned (URL, terms, method, input/output shapes). It does not explicitly distinguish itself from siblings, but the resource and scope are clear.

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 context for use is implied: an agent should call this when looking for vetted, paid-for resources in the facilitator's catalogue. However, there is no explicit when-to-use or when-not-to-use guidance, nor mention of alternatives among the sibling tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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

No annotations are provided, so the description must fully disclose side effects and safety. It says the code is 'working' and to copy it as is, but it does not explicitly state that the tool itself only returns code and does not perform any charging or state modification. It also omits whether invoking the tool triggers external calls or requires permissions.

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 but somewhat run-on, mixing the purpose, the test URL, and copy instructions. It front-loads the main intent but could be more structured and concise, with each clause serving a clear role.

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 returns code and a URL, but the description does not specify the output format (e.g., JSON structure), whether authentication is required, or what the 'wallet' refers to. This leaves gaps that an agent would need to resolve to correctly handle the response.

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 input schema provides a description for the 'role' parameter but not for 'language' or 'framework' beyond enums. The description only references 'language and framework you name', which adds no new meaning. With schema coverage at 33%, the description should compensate but does not.

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 indicates the tool provides working code for charging a route and a test URL, with a specific subject and purpose. It distinguishes itself from sibling tools (status, pricing, resource lookup) by focusing on integration code, though it does not explicitly name them or use a crisp action verb like 'generate'.

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 implies the tool is used when you need starter code for charging and mentions selecting a language and framework. However, it provides no explicit when-to-use or when-not-to-use conditions, and does not reference alternative tools or scenarios, leaving usage context only partially implicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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

With no annotations, the description must disclose behavioral traits itself. It indicates the cost may be free during launch pricing, hinting at potential changes, but does not explicitly state that this is a read-only operation, what happens on failure, or any side effects. The description is minimal and leaves room for uncertainty about the tool's 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?

The description is concise, with two sentences, and the core purpose is front-loaded. The sentence about free pricing is secondary but relevant. It is efficient and not verbose, earning a high score.

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 one optional parameter and no output schema, the description is mostly adequate but lacks specifics about the output format, units of currency, or what 'basis' means exactly. The agent knows it returns cost and basis but cannot anticipate the structure. The completeness is sufficient for a simple tool but could be clearer.

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 input schema already fully documents the 'network' parameter, including format and omission behavior, so the baseline is 3. The description does not add any extra meaning to the parameter beyond what the schema provides. It correctly avoids redundancy.

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 what the tool returns: the settlement cost per network and the basis for that cost. It uses specific terms ('settlement costs', 'per network', 'basis') and is distinct from sibling tools which concern status, paid resource lookup, and integration snippets. The purpose is unambiguous.

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 implies when to use it (when you need settlement cost information) but provides no explicit guidance on when not to use it or how it relates to alternative tools like facilitator_status or find_paid_resource. The note about free pricing is contextual but not a usage criterion. No exclusions are mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.