Quietforge x402 Tools

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

With no annotations provided, the description carries the full burden. It discloses that the operation is 'read-only' and 'Free', which are key safety traits. It also explains the type of information returned (prices, address, network, payment method). It does not mention rate limits or authentication, but for a simple listing tool, these are not expected; the read-only declaration is sufficient.

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 long sentence with multiple clauses, but every clause carries relevant information: route types, prices, payment address, network, and payment method. It is front-loaded with the core purpose ('List Quietforge's paid x402 routes'). It is slightly verbose due to the list, but remains focused and efficient, earning a 4 rather than a 5.

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 the tool's low complexity (no parameters) and the presence of an output schema, the description fully covers what an agent needs: what is listed, the specific details (prices, address, network, payment), and the safe read-only nature. No additional context is required for correct invocation.

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 has zero parameters, so per the rubric the baseline is 4. The description does not need to add parameter information since none exist, and the schema is empty. The description's content is entirely about the output and purpose, which is appropriate for a no-parameter tool.

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 verb 'List' and the specific resource: 'Quietforge's paid x402 routes', enumerating the route types and the pricing details. It distinguishes itself from sibling tools like x402_search or x402_probe by focusing on pricing and payment information, leaving no ambiguity about its function.

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?

While it does not explicitly name alternative tools or state when not to use it, the description conveys a clear context: use this to obtain pricing and payment details for Quietforge's routes. The 'Free, read-only' tag implicitly signals safe usage, but it lacks explicit guidance on when to prefer another sibling tool, which 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?

With no annotations provided, the description carries the transparency burden. It discloses meaningful behavior: uniqueness, 180-degree symmetry, difficulty grading, deterministic output when a seed is supplied, and a shared 20-per-minute rate limit. It stops short of stating default randomness when no seed is given, but the disclosed traits go well beyond the bare schema.

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 sentences, front-loaded with the core purpose and key qualities, followed by return format, determinism, and rate limit. It is efficient, though the 'given count and technique list' clause is confusing and should either be removed or aligned with the schema.

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?

Output format is covered by the description and the existing output schema, but input-side completeness is weak: no explicit statement that difficulty maps to 'level', no default behavior for a null seed, and no resolution of the phantom 'count and technique list' parameters. An agent cannot confidently construct arguments from this description plus the bare schema.

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 explain the two parameters. It only implies level values via the difficulty list and ties seed to determinism; it never explicitly maps 'level' to the grade, never lists allowed level values, and references 'count and technique list' that are not present in the input schema. This mismatch could cause an agent to send invalid arguments.

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 opens with a specific verb and object ('Generate ONE sudoku puzzle') and states distinguishing properties: unique solution, 180-degree symmetry, and difficulty grades (easy | medium | hard | expert). It clearly separates the tool from the unrelated sibling tools, but the unexplained phrase 'given count and technique list' introduces ambiguity about what the tool actually accepts.

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?

Usage context is implied: use this tool when a sudoku puzzle with a unique solution and specified difficulty is needed. It adds a useful determinism condition (same seed reproduces output) and a rate limit, but it never states when to prefer it over alternatives or what to do if the per-minute limit is hit. With siblings in different domains, this gap is minor.

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 carries the behavioral burden. It communicates that this reports on previously collected probe/crawl data rather than triggering a live operation, which is useful context. It does not explicitly state side effects or permissions, but for a zero-parameter read-only stats tool this is a minor gap.

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?

A single sentence that front-loads the resource and then lists the report contents compactly. There is no filler, redundancy, or unnecessary detail.

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-argument aggregate report with an output schema present, this description is complete: it covers the dimensions summarized and the temporal anchor ('last probe', 'when the crawl ran'). The output schema can handle return-value details.

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 has zero parameters, so the baseline is 4 and there is no parameter semantic burden on the description. The description appropriately focuses on what the summary contains rather than parameter behavior.

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 the resource ('x402 service index') and enumerates exactly what the summary contains: totals, endpoint response counts, per-network/per-source counts, and crawl timing. This clearly distinguishes it from siblings like x402_probe and x402_search, which imply live probing and searching rather than aggregate reporting.

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 does not explicitly say when to prefer this over x402_probe or x402_search, and it names no alternatives. However, the intended use is implied: use this to inspect historical index/crawl statistics rather than to perform a new probe or search.

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 full transparency burden and it delivers: it discloses that the request is live and unpaid, the method behavior ('GET only, except...'), public-host restriction with redirect re-checking, delisted-host never-contact, 60s caching, and rate limits. This is comprehensive behavioral disclosure beyond the schema.

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 well-structured sentences front-load the core purpose and outputs, then add method nuances and operational constraints. Every clause carries necessary operational information, with no filler or redundancy.

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 two-parameter tool with an output schema, the description covers input semantics, behavioral constraints, rate limits, and the report contents. Since an output schema exists, the description need not detail the return structure. No essential information is missing for correct invocation.

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 0%, so the description must compensate. It adds meaning to 'url' as a 'public http(s) URL' and to 'method' with 'GET only, except that a URL already in the index is probed with its listed method' plus the default GET. It could be more explicit about allowed method values, but it substantially enriches the bare 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 action ('Make ONE live unpaid request to a public http(s) URL') and concrete outputs ('status code, latency, alive flag, whether a PAYMENT-REQUIRED challenge came back and the parsed USD price'). This clearly differentiates it from sibling tools like x402_search or x402_service by focusing on probing a single URL for endpoint 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?

Provides clear context on when to use the tool: to probe a URL and determine if it is an x402 endpoint. It also gives operational constraints (GET method, public hosts only, delisted hosts never contacted, cache and rate limits). However it does not explicitly name alternative tools or state when not to use this tool versus siblings like x402_search.

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 provided, the description carries the full burden of behavioral disclosure. It reveals that data is re-crawled periodically ('a few times a day, not real-time') and that results include 'our own uptime/probe data', which tells the user the data is probed and not live. It does not mention authentication, rate limits, or error behavior, but for a read-only search tool these are minor gaps. The description adds meaningful context beyond the raw schema.

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 three sentences: the first states the purpose with the primary scope and a helpful parenthetical about the stats tool, the second lists return fields, and the third gives the freshness caveat. Each sentence adds value and the most important information (purpose) is front-loaded. It is not overly verbose, though the third sentence could be merged with the first, giving it a slightly loose structure.

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 an output schema exists, return values are likely defined there, so the description's listing of return fields is a bonus. However, the description does not explain how to use the search parameters (e.g., what q stands for, how alive or max_price_usd filter results), and with 0% schema coverage, that information is missing. The tool is moderately complex (7 optional parameters), so the description should offer at least minimal guidance on parameter usage to be fully complete.

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 by explaining the parameters. It fails to do so: it mentions 'network' and 'USD price' only in the context of return fields, not as filter criteria. The parameters (q, alive, limit, offset, source, network, max_price_usd) are left entirely to inference from their names. While the names are somewhat self-explanatory, the description does not add meaning to them, which is a significant gap given zero schema coverage.

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 a specific verb ('Search') and a well-defined resource ('a health-probed directory of live x402 pay-per-call HTTP endpoints'), and it lists the return fields (id, resource URL, method, network, USD price, etc.). It also differentiates itself from sibling x402_index_stats by noting that tool gives the count, so an agent can distinguish this search from the stats tool.

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 this tool (to search for endpoints) and explicitly mentions x402_index_stats as an alternative for count, which gives a cue for when not to use it. However, it does not name other siblings like x402_probe or x402_service, nor does it state explicit conditions for when to prefer this over them. The 'not real-time' caveat hints that real-time data is out of scope, but more direct exclusions would improve clarity.

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 carries the burden. It discloses the output structure (last 20 health probes with status code, latency, alive, and uptime), which is useful. However, it omits behavior on missing/invalid ids, error responses, or whether the operation has side effects. For a read-only retrieval, this is a moderate gap but not severe.

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, well-structured sentence that front-loads the core purpose and include specific details (health probes, uptime) without fluff. Every word adds value, and it is neither overly long nor truncated.

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 simple one-parameter retrieval with an output schema, the description covers the essential return content (last 20 probes, uptime) and the prerequisite (id from x402_search). It does not mention error handling or edge cases, but given the output schema exists and the tool is straightforward, it is reasonably complete.

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. It tells the agent the id comes from x402_search, which hints at the id's provenance and format. However, it does not elaborate on id syntax, examples, or constraints beyond the schema's type string. It partially compensates but leaves some ambiguity.

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 action (retrieve a single endpoint by id) and identifies the resource (x402 service index) and the return payload (last 20 health probes and uptime). It also references x402_search, which distinguishes it from siblings like x402_probe or x402_index_stats, making the intent 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?

It explicitly states the id comes from x402_search, implying you should search first before calling this tool. This gives clear context on when to use it, though it does not explicitly mention alternatives or when not to use it. The prerequisite is stated, which is helpful but not exhaustive.

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