Autonomy 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 and it clearly discloses the key behavioral trait: the call is paid via standard x402 v1, costs 2.00 USDC on Base, and audits exactly one site. It does not detail payment failure behavior or idempotency, but the cost and payment mechanism are unusually transparent.

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 compact and front-loads the payment requirement before the core action. The surface list is useful, though the pricing/network detail is stated twice, causing minor 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?

Without an output schema, the description at least states the outcome—a grade A-D—and lists the surfaces audited, which covers basic invocation. However, it omits the x402 payment flow steps, failure behavior, and what additional report data accompanies the grade, leaving some operational uncertainty.

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 the URL parameter already says 'absolute https URL'. The description adds meaning by clarifying that the URL must be a public site and that exactly one site is audited per call, which goes beyond 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?

The description states a specific action—audit ONE public site—and enumerates the eight AI-agent readiness surfaces plus the A-D grade output. This makes the tool's scope unmistakable and differentiates it from generic site tools even without naming siblings.

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?

No explicit guidance is given for when to use this tool versus alternatives like agent_site_audit_5, generate_llms_txt, or wallet_watch_pro. The description only implies the use case and does not state exclusions or prerequisites beyond a public URL.

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?

The description mentions pay-per-call and public sites, which gives some behavioral context, but does not disclose whether the audit is read-only, if any side effects occur, or what the response contains. With no annotations, the description carries the burden but leaves gaps.

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, compact sentence that conveys the core functionality, batch size, and pricing without unnecessary words. It is well-structured and easy to read.

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 description lacks crucial context such as what the audit returns, what 'readiness' means, any error scenarios, or authentication requirements. Without an output schema or additional details, users cannot fully anticipate the tool's behavior.

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 description adds minimal meaning to the 'urls' parameter beyond the schema's '5 absolute https URLs', only reinforcing that they are public sites. It does not clarify expected format, length, or other constraints beyond what the schema already specifies.

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: auditing exactly 5 public sites for AI-agent readiness, with a specific price and payment model. It distinguishes itself from likely sibling tools by the batch size.

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 usage for auditing 5 sites at once and mentions pay-per-call, but does not explicitly explain when to use this tool over alternatives like the related agent_site_audit. No conditions or prerequisites are stated.

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 burden of behavioral disclosure. It discloses the cost and payment method (0.01 USDC on Base via x402) and that prices are 'live'. However, it does not mention potential error cases, rate limits, response format, or what happens with invalid coin IDs, leaving significant gaps.

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, efficient sentence that front-loads the purpose, includes the payment detail, and provides an example. No wasted words.

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 tool, the description covers the core action and payment, but it lacks details about the output format (no output schema exists), possible errors, or behavior for unsupported IDs. These omissions could leave an agent uncertain about what to expect.

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 description covers the parameter fully (comma-separated CoinGecko IDs with example). The description repeats the same information without adding new meaning. Since schema coverage is 100%, the baseline of 3 applies.

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 function: retrieving live crypto prices in USD for a comma-separated list of CoinGecko IDs. It also mentions the payment mechanism. While it doesn't explicitly differentiate from siblings, its purpose is highly specific and distinguishable from the unrelated sibling tools.

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 makes clear that it is for live price lookups. It does not mention alternatives, but since none of the sibling tools serve a similar function, no explicit exclusion is needed. The payment requirement (x402 USDC on Base) is a notable usage consideration.

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 must carry the behavioral disclosure burden. It does disclose key behaviors: the tool is paid ('Paid via standard x402 v1', Price 3.00 USDC on Base）， the input is a public site, and the output is a ready-to-ship llms.txt. However, it does not disclose failure modes (e.g., what happens when the site has no sitemap or exceeds 40 pages), nor how the result is delivered. The pricing/payment disclosure is valuable and goes 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?

The description is a single sentence with no filler. It front-loads the payment mechanics, states the core action, and includes the key limitation. Every clause carries useful information, making it appropriately compact yet informative.

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 single-parameter paid tool, the description provides most essential operational context: pricing, currency, payment standard, input source, and output intent. It does not describe return format or error handling, but given the simplicity of the tool and the absence of an output schema, the core information needed to invoke it correctly is present. Minor gaps around failure scenarios prevent a perfect score.

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 100% for the only parameter, url. The description adds meaning beyond the schema by clarifying that the URL must point to a public site with a sitemap, and that the sitemap is capped at 40 pages. This aids correct invocation by implying the URL should be a site root, not a sitemap URL, and that larger sites are unsupported.

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 ('generate'), a concrete resource ('a ready-to-ship llms.txt'), an input method ('from its sitemap'), and a clear scope ('ANY public site'). It also includes a critical capability limit ('40 pages max'). This sharply differentiates the tool from its sibling tools like agent_site_audit or wallet_watch_pro, which serve entirely different purposes.

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 the tool: whenever a ready-to-ship llms.txt is needed for a public site. However, it does not explicitly state when not to use it, nor does it name any alternative for sites with more than 40 pages or missing sitemaps. The '40 pages max' is a constraint but not framed as an exclusion or routing cue.

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 disclosing behavioral traits. It does disclose that the call is pay-per-call via x402 v1 (USDC on Base) with a fixed price of 0.50 USDC, which is critical for an agent to know cost implications. However, it does not explicitly state that the operation is read-only or side-effect-free, nor does it describe the output format. The cost disclosure is valuable but not complete.

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, using two short sentences to convey the tool's content (catalog and checklist) and the payment requirement. It front-loads the pay-per-call aspect, which is the most critical operational detail. No redundant or filler information is present.

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 no parameters and no output schema, the description adequately covers what it does and the cost. It tells the agent it provides an endpoint catalog with curl commands and a checklist, which is sufficient for an agent to decide if it needs this information. The lack of detailed output formatting is acceptable given the informational nature.

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 schema is trivially complete (coverage 100%). The description doesn't need to explain parameters, and the baseline for 0 parameters is 4. It appropriately focuses on what the tool returns rather than parameter syntax.

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 the AI-Agent Starter Pack, specifically an x402 endpoint catalog with copy-paste curl and an 8-point readiness checklist. While it lacks an explicit action verb like 'retrieve' or 'get', the purpose is unambiguous and distinguishable from sibling tools, which are separate utilities like crypto_price or web_fetch.

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?

There is no guidance on when to use this tool versus alternatives. It does not mention any conditions, scenarios, or exclusions, leaving the agent to infer that it is informational and likely used to obtain x402 endpoint examples. Without explicit usage context, agents may not know when to choose it over other 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 disclose any behavioral traits. It mentions 'pay-per-call' and the price, which is useful for cost awareness, but it does not describe any other behaviors such as data freshness, rate limits, or potential side effects. The tool does not have a readOnlyHint, so the agent might assume it could have side effects, but the description does not clarify. This is a gap given the lack of 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 extremely concise: one sentence, direct, and front-loaded with the essential info: pay-per-call, storefront catalog, metrics payload, and price. There is zero fluff. For a tool with no parameters, this is appropriate.

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 has zero parameters and no output schema, the description is arguably sufficient for a basic understanding. However, it lacks any mention of return format, pagination, or use cases. The price is included, which is good. Still, the tool might have some complexity in terms of what metrics are included, which is not described. It is minimally complete but lacks depth.

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?

Since there are zero parameters, the description does not need to explain any parameter meanings. The schema is empty, so there is no additional info to provide. Given that there are no parameters, a baseline of 4 might be appropriate, but the description does not confirm that the tool requires no inputs explicitly; it just lacks parameters. The description does mention 'products list' which gives a hint of what output to expect, but no input semantics are needed.

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: a storefront catalog plus metrics payload specifically for products list. It mentions the pay-per-call nature and pricing, which helps the agent understand the cost implications. However, it doesn't explicitly differentiate from sibling tools like agent_site_audit or wallet_watch, though the mention of storefront catalog is distinct enough.

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?

There is no guidance on when to use this tool versus alternatives. The description does not explain any use cases, prerequisites, or exclusions. The agent is left without context on when this tool is appropriate, especially since sibling tools exist with different purposes.

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 fully discloses important behavior: cost via x402, USDC on Base, the 200-token/100-transaction limits, native-coin exclusion, and the partial-response flags such as provider_limited and token_balances_complete. This goes well beyond a generic description.

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 dense but efficient: every sentence carries essential information about pricing, limits, exclusions, and partial-response behavior. There is no filler or unnecessary repetition of 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?

For a single-parameter tool with no output schema and no annotations, the description is notably complete. It covers the input, cost, limits, native-coin exclusion, and response metadata fields, leaving an agent well-equipped to select and invoke the tool 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 input schema already documents the single address parameter at 100% coverage, including the format '0x...'. The description only restates that the snapshot is for one address and does not add meaningful parameter-level semantics 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 clearly identifies the tool's operation: it returns a Base wallet snapshot with quantified limits (200 ERC-20 balances, 100 transactions) for one address. It also states exclusions, such as native coin balances, and the paid provider nature, which helps distinguish it from the sibling wallet_watch_snapshot.

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 provides clear context: paid x402 access, explicit caps, and partial-response behavior, so an agent knows when this tool is appropriate for a comprehensive wallet snapshot. However, it does not explicitly name wallet_watch_snapshot as an alternative or give when-to-use versus when-not-to-use guidance.

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 at all, the description bears the full burden and delivers: it discloses payment protocol and exact price, output limits (20 tokens, 10 transactions), exclusions, and the partial-response behavior with metadata flags (provider_limited, token_balances_complete, transactions_complete, source/error). This is rich behavioral 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?

The description is a single dense paragraph where every clause adds information: payment, limits, exclusions, partial behavior, and metadata. It could be lightly restructured for readability, but there is no wasted verbiage and key attributes are front-loaded.

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?

Despite having no output schema, the description covers the essential contract: what data is returned, the caps, the missing-data cases, the error/source metadata, and the payment prerequisite. An agent has everything needed to correctly invoke the tool for a Base address.

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%: the sole 'address' parameter is already described as a Base address with example. The description reinforces the one-address scope but adds no new syntax, format, or edge-case meaning beyond the schema, so the baseline 3 applies.

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 the tool provides a 'Base wallet snapshot' with up to 20 ERC-20 token balances and at most 10 recent transactions for one address, which clearly identifies the resource and scope. It lacks an explicit verb like 'retrieves' or 'returns', but the noun phrase is specific enough to convey what the tool does and its limitations.

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 gives clear usage context: paid x402 v1 (USDC on Base) for a one-address wallet snapshot, including what is excluded (native coin balances) and when responses are partial. It does not mention alternatives or when not to use it, but for a paid single-purpose read tool the context is adequate.

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 does disclose the payment model (pay-per-call via x402 v1) and scope (public URLs only), and specifies the returned fields. However, it omits details about error handling, rate limits, redirect behavior, or timeouts, which are relevant for a fetch tool. The description covers the essential behavioral aspects but lacks depth.

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 long and every word contributes meaning. It front-loads the payment context, which is important for a paid tool, before stating the core purpose. While it is concise, the structure could be slightly improved by stating the primary function first for quicker comprehension, but overall it is efficient.

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 simplicity (one parameter, no output schema), the description is mostly complete. It covers input (URL), output fields (status, content-type, body), and cost. Missing are error handling specifics and rate limit information, which are less critical for a straightforward fetch operation but still relevant. The absence of annotations increases the burden, yet the description manages to convey the essential usage context.

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 already fully describes the 'url' parameter as an absolute HTTPS URL, achieving 100% coverage. The description adds the constraint that the URL must be 'public,' which is a useful semantic addition not present in the schema. Beyond this, the description adds little value, so a baseline of 3 is appropriate given the high 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 the tool's function: fetching a public URL and returning status, content-type, and body. It uses a specific verb ('fetch'), identifies the resource ('URL'), and lists expected outputs. This differentiates it from siblings like crypto_price and storefront_catalog, which serve entirely different purposes.

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 provides no explicit guidance on when to use this tool versus alternatives. It does not mention any conditions, exclusions, or alternative tools. Sibling tools like agent_site_audit might also involve fetching content, but no distinction is made, leaving the agent to infer applicability.

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