Quietforge x402 Tools

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

Annotations already declare readOnlyHint/idempotentHint/destructiveHint=false, so the safety profile is covered; the description reinforces it with 'free read-only list.' It adds genuine value by disclosing output content (USD prices, pay-to address, how an x402 client pays). It does not address rate limits or freshness of prices, but that is minor given the 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 purpose leads the sentence and the trailing route enumeration is front-loaded context that helps an agent decide relevance. The long semicolon-delimited list is dense, but every item earns its place by showing which routes are price-coverable.

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?

With no parameters, an output schema present (so return values need not be explained), and annotations covering safety, the description supplies what is missing: what content is returned and that it is a free lookup. It is complete enough to call correctly, only lightly short on routing to siblings.

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 takes zero parameters, so per the rubric the baseline is 4. There is nothing for the description to clarify beyond what the (empty) schema already conveys.

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 verb+resource: 'Price-check Quietforge's paid x402 HTTP routes.' The enumerated route list makes the scope concrete, and 'free read-only list, not tools here' signals it is distinct from actually invoking services. It stops short of naming a specific sibling (e.g., x402_service) as the alternative, so it does not fully differentiate by name.

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?

'before paying' implies the intended timing (consult this before transacting), and 'not tools here' hints at the boundary with execution tools. But it names no explicit alternative among siblings like x402_service or x402_search and gives no exclusion conditions, leaving usage largely inferred.

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?

Annotations already declare readOnly, idempotent, closed-world and non-destructive, so the safety bar is low; the description still adds substantial non-obvious behavior: unique solvability, symmetry guarantee, technique-based difficulty grading, determinism tied to seed, and a 20/min shared rate limit.

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?

Three tight sentences, front-loaded with the use case and then the guarantees, output format, determinism and rate limit. No filler and no repetition of the title.

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 zero-required-parameter generative tool, the description covers triggering context, correctness guarantees, output encoding ('81-char puzzle and solution strings, row by row, 0 = empty'), determinism and throttling. Return values are also backed by an output schema, so nothing needed to call it correctly is missing.

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 coverage is 100% and both parameters are fully documented there, including the level values (easy/medium/hard/expert) and the seed range, so the description's mention of the same values is largely redundant. It does add the determinism link between seed and reproducibility, which is marginal value beyond the schema.

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 verb and resource ('Generates ONE sudoku puzzle') and immediately qualifies scope with 'unique solution, 180-degree symmetry, graded by solving techniques'. An agent can distinguish this from every sibling (all pricing/x402 tools) at a glance.

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?

Opens with an explicit when-to-use: 'Use this when a user wants a sudoku to play or print, or an app needs a verified puzzle at a named difficulty.' Clear trigger conditions, but no when-not guidance or named alternatives, and none of the siblings are plausible substitutes so exclusion is less critical.

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?

Annotations already cover the read-only/idempotent safety profile, but the description adds substantive behavior: data is verified against on-chain settlement rather than self-reported call counts, it is free and aggregate-only, payer counts include sampler/grader wallets so they are an upper bound on customers, and it refuses to serve a stale snapshot. These are real operational traits not derivable from 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?

Front-loaded with the question it answers, then scope, then the free-vs-paid distinction. It is dense and slightly long, but nearly every clause (on-chain verification, sampler-wallet caveat, staleness refusal) carries decision-relevant information rather than filler.

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?

An output schema exists, so return values need no explanation. The description covers scope, data provenance, access tier, known measurement caveat, and failure behavior — everything an agent needs to call a zero-argument read correctly.

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 takes no parameters, so there is nothing for the description to disambiguate; the 0-param baseline applies. No missing parameter meaning exists to compensate for.

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 concrete resource (market-level x402 demand) and scope (settled on-chain USDC on Base, last 24h) with specific metrics: paid seller addresses, total USD settled, distribution by payment count. It also marks the boundary against the per-seller breakdown route, so the agent can tell what this tool does and does not return.

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?

Opens with the exact question it answers ('is anyone actually paying for x402 APIs today') and contrasts it with listings, then names the alternative route (paid GET /v1/x402/demand) and the condition that selects it. When-to-use and when-to-use-something-else are both explicit.

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?

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint=false, so the safety profile is covered. The description adds genuinely useful context beyond that: the index is a subset of the x402 market, not the whole market, which changes how an agent should interpret results.

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?

Front-loaded with the use case and then the payload summary in one dense, low-waste sentence pair. The enumeration of return contents is slightly redundant with the output schema, but it is brief and aids scanning.

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?

With an output schema present and zero parameters, the description only needs to supply the interpretive caveat, which it does: the index is a subset of the market. Nothing an agent needs to call and correctly interpret this tool is missing.

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 takes no parameters, so per the rubric the baseline is 4. There is nothing for the description to clarify beyond that, and it correctly does not waste words on nonexistent inputs.

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 purpose: reporting index coverage (totals, endpoints that answered, counts per network/source, crawl time). It also distinguishes itself from the sibling x402_search by framing itself as the tool you check before relying on search results.

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?

Explicitly says to use it to sanity-check x402_search coverage before relying on it, giving a clear triggering condition and naming the related sibling. It does not state a when-not condition, but for a zero-arg stats tool that is a minor gap.

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?

Annotations only cover the safety profile (readOnlyHint false, openWorld true, idempotent false, destructive false), while the description adds real behavioral detail: one live GET (with indexed-URL method exception), public hosts only, redirects re-checked, delisted hosts never contacted, 60 s caching, and concrete rate limits (3/host/5 min, 30/min). That is exactly the kind of context annotations cannot carry.

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?

Front-loads the use case and the caveat, then packs the network and rate-limit constraints into a dense second sentence with no filler. The semicolon-chained clauses are information-always but make the sentence heavier than necessary.

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?

An output schema exists, so return values need no prose explanation, and the description still summarizes what is reported. Between the description and schema an agent knows the request semantics, side-effect profile, host restrictions, caching and throttling before calling – nothing material is missing.

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 coverage is 100%, so both parameters are already documented. The description's method rule and 'public hosts only' constraint simply restate what the url and method schema descriptions say, adding no new syntax or format guidance beyond the structured fields.

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 verb and resource ('probe one URL for a well-formed x402 challenge') and scopes it to a live unpaid request that reports status code, latency, alive flag, challenge presence and parsed USD price. This is clearly distinguishable from siblings like x402_search or x402_index_stats, which do not issue live probes.

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?

Gives explicit context for use ('a URL you are about to pay (or one you operate)') and a valuable caveat that a challenge is no guarantee the service delivers, which frames the decision to send funds. It never names an alternative sibling or an explicit when-not-to-use, so it stops short of the top bar.

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?

Annotations already establish read-only, non-destructive behavior, yet the description adds substantial context the agent cannot get elsewhere: data is re-crawled a few times a day rather than real-time, some listings are testnet or non-USDC assets, and ordering is by 30-day usage then liveness then freshness. It also discloses the operator conflict of interest (Quietforge lists its own endpoints under the same per-host cap) without contradicting the 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 purpose and the caveats are front-loaded, and the paragraph is dense with non-redundant facts. It is slightly overloaded with parenthetical caveats, but nothing is filler.

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 the return fields are listed, the description goes beyond that to cover freshness, ordering, and operator bias, and the tool has an output schema so return-shape detail is not required. An agent has everything it needs to decide to call this and interpret the rows.

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 coverage is 100%, so the baseline is 3, but the description adds meaning by tying the filters to real search dimensions (task, network, price cap) and warning that each row's network and asset must be checked, which explains why the network filter matters. It still leaves format nuances (e.g. CAIP-2 syntax) to the schema.

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 verb and resource (find a pay-per-call x402 API) and narrows scope to a task/network/price cap, which separates it from x402_service (detail on one endpoint) and x402_probe (liveness check). It even names x402_index_stats as the tool for counts, so the agent can route without opening either schema.

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?

Clearly frames the use case: find a pay-per-call endpoint before calling it, and points to x402_index_stats for the current count. It does not explicitly say when to prefer x402_service or x402_demand instead, so the alternative-routing guidance is only partial.

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?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds behavioral scope by specifying the probe window ('last 20 health probes') and the derived uptime metric, but since an output schema exists the return payload is largely already documented. It adds modest context beyond structured fields, not rich disclosure.

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?

It is a single front-loaded sentence that begins with the trigger ('Use this to check whether...'), so intent is established immediately. The parenthetical enumeration of probe fields is slightly dense but each item is informative, so nothing is wasted.

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?

With annotations covering safety, a 100%-covered one-parameter schema, and an output schema describing returns, the description only needs to supply purpose, trigger, and data scope — all of which it does. The only mild gap is no mention of what happens when no probes exist or the id is unknown.

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 is a single parameter with 100% schema description coverage ('Service id exactly as returned by x402_search'), so the schema already does the heavy lifting and the baseline is 3. The description's phrase 'one endpoint from x402_search' corroborates the id's origin but adds no syntax or format detail beyond the schema.

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 names a specific verb (check) and resource (one endpoint from x402_search), and enumerates exactly what is retrieved: the record, the last 20 health probes with status code/latency/alive, and uptime. It explicitly positions itself against the sibling x402_search as the source of the id, so an agent can distinguish it without opening the schema.

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 states a clear decision context — verifying an endpoint is 'reliable enough to pay' — and points to x402_search as the origin of the id. There is no explicit when-not or alternate-tool exclusion, so it falls short of a 5, but the intended trigger is unambiguous.

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