Anyway Possible Paid Agent Utilities

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds the specific data returned (ETH, USDC, block height) but does not disclose output formatting, error behavior, or chain/confirmation caveats; this is adequate but not rich.

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 front-loaded sentence with no filler; every word adds semantic value.

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 read-only tool with one parameter and no output schema, the description states all returned data. It could add fee/cost details from the title or output formatting, but nothing essential 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?

With 0% schema description coverage and a single address parameter, the description's mention of 'a Base wallet' gives the parameter real-world meaning. The regex in the schema handles format, so the combined information is sufficient.

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 uses a specific verb ('Read') and identifies the exact resource: native ETH and Circle USDC balances plus current block height for a Base wallet. This clearly distinguishes it from the unrelated sibling URL/merchant 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?

It clearly indicates this is the read-only balance/block-height lookup for Base addresses, which implies when it applies. It does not explicitly name alternatives or exclusions, but the siblings are unrelated, so the intended context is unambiguous.

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 read-only and non-destructive behavior. The description adds valuable behavioral context beyond annotations: the operation is paid, restricted to public URLs, and results are isolated so partial failures do not fail the whole batch. This is meaningful additional transparency, though it does not detail failure output or rate limits.

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 front-loaded sentence communicates the action, scope, cost, and failure-isolation behavior with no filler. Every phrase earns its place, and the most important operational detail ('one paid call') appears early.

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 is adequate for a basic call: it identifies what is checked, the URL limit, the paid nature, and partial-failure isolation. However, it leaves expectedStatus undocumented, says nothing about the result format, and does not explicitly route agents between using this tool and the single-URL check_url alternative.

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 for parameter semantics. It adds the 'public URLs' constraint and 'up to ten' count, which helps understand the urls parameter, but it entirely omits expectedStatus and its intended role. The optional status parameter remains unexplained, leaving a real semantic gap.

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 action ('Check'), a resource ('up to ten public URLs'), and a key differentiator from siblings ('in one paid call', 'isolated results for partial failures'). It distinguishes itself from the single-URL check_url sibling by emphasizing batching and partial-failure isolation.

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 conveys the intended batching use case: checking multiple URLs in a single paid call rather than calling the single-URL tool repeatedly. It does not explicitly name alternatives or state when not to use it, so it falls short of full exclusion guidance, but the context is clear.

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 readOnlyHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is covered. The description adds what data points are checked (reachability, HTTP status, latency, redirects, content type) but doesn't disclose potential network-access nuances, timeouts, or rate-limit 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?

One efficient sentence that front-loads the action, lists the checks performed, and states the recommended usage context. 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 simple read-only URL check, the description covers the core purpose and output dimensions. However, the unaddressed expectedStatus parameter and the absence of any return-format guidance leave clear gaps, especially since there is no output 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 compensate. The url parameter is adequately implied by 'public URL', but the expectedStatus parameter is not mentioned or explained anywhere in the description or schema. An agent cannot infer how expectedStatus affects the check 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 a specific action — 'Check one public URL's reachability, HTTP status, latency, redirects, and content type' — tied to a concrete resource. The word 'one' clearly distinguishes this tool from the sibling batch_check_urls.

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 using it' gives clear usage context: validate a URL before relying on it. The singular 'one public URL' implies this is for single-URL checks rather than the batch sibling, though it doesn't explicitly name alternatives or exclusions.

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 annotations already declare readOnlyHint=true and destructiveHint=false, so the read-only and safe nature is covered. The description adds that the tool analyzes multiple dimensions and returns prioritized fixes, but it does not disclose behaviors such as data freshness, external calls, rate limits, or the fact that this is a paid operation beyond the title. It neither contradicts annotations nor adds substantial behavioral context.

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, front-loaded sentence that begins with the action verb and immediately names the tool's scope and output. There is no filler or repetition; every phrase contributes meaning, and the priority ordering makes the purpose clear at a glance.

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 three parameters, a payment requirement, and no output schema, the description captures the high-level purpose and deliverable but leaves key operational details unstated. An agent still needs to infer what queries should contain, how payTo is used, and what the returned prioritized fixes look like. The description is adequate for a rough understanding but not fully sufficient for confident 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 description coverage is 0%, so the description carries the burden of explaining parameters. It does not map 'queries' to the listed audit dimensions, nor explain 'payTo' as the merchant's Ethereum address or the role of 'excludePayers.' The description's list of audited areas hints at what queries might represent but does not compensate for the total absence of parameter-level documentation.

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 'Audit' followed by a detailed resource list: listings, semantic rank, competitor prices, payment reliability, buyer reach, and observed Base USDC activity. It closes with a clear deliverable, 'prioritized revenue fixes.' This is a precise purpose statement and, even without naming a sibling, it differentiates from merchant_snapshot by emphasizing audit and recommendations rather than a passive 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 implies when to use the tool: when a merchant wants a diagnostic across several dimensions and prioritized fixes. However, it gives no explicit guidance on when to choose this over alternatives like merchant_snapshot, payment_guard, or verify_web_evidence, and it does not mention the $0.25 USDC cost as a decision factor. Usage context is implied but not 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?

Annotations already establish readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds useful context about the analytical dimensions and 'observed' Base USDC activity, reinforcing a read-only analysis role, but it does not explain billing despite the $0.05 USDC title note or output 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 a single compact sentence with no filler and the core outcome is front-loaded. It is efficient, though it sacrifices parameter clarity for brevity.

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 no output schema and 0% schema description coverage, the description should carry more weight. It conveys the high-level purpose but omits input semantics, output shape, and sibling selection guidance, leaving the tool under-specified for reliable 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 description coverage is 0%, yet the description does not explain any of the three parameters: payTo, queries, or excludePayers. An agent cannot determine what 'queries' should contain or why excludePayers exists, making correct invocation largely guesswork.

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 uses a specific verb ('Score') and names a concrete deliverable ('identify the largest revenue issue') with explicit dimensions such as discovery, reliability, buyer signals, and Base USDC activity. It is clear about what the tool does, but it does not explicitly differentiate it from the closely related sibling merchant_audit.

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 like merchant_audit, payment_guard, or treasury_preflight. The description states what it does but gives no context about prerequisites, exclusions, or which sibling should be chosen instead.

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 annotations already declare readOnlyHint=true and destructiveHint=false, so no safety contradiction exists. The description adds meaningful behavioral detail beyond the annotations: the tool performs a live pre-signing validation across price, network, asset, recipient, funding, gas reserve, and destination. It could still disclose failure/return behavior, but it goes beyond a bare read-only claim.

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 sentence with no filler, and the action is front-loaded. It is concise, though the long comma-separated validation list is slightly hard to parse and some terms ('price', 'destination') remain ambiguous.

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 5 parameters, 0% schema descriptions, and no output schema, the description is incomplete: it does not state what the tool returns on success/failure, whether validation failure throws or returns a reason, or how the required fields relate to the listed checks. An agent cannot fully predict invocation behavior from this definition alone.

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 needed to explain parameter meaning, but it never maps its listed concepts to actual parameters. The agent must guess that maxAmountUsdc is the 'price', expectedPayTo is the 'recipient', and minGasReserveEth is the 'gas reserve'; expectedPayTo and minGasReserveEth are left almost entirely to inference from their names.

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 uses a specific verb ('Validate') and names a concrete resource ('live x402 challenge'), then enumerates the exact conditions checked (price, network, asset, recipient, funding, gas reserve, destination). This makes it distinguishable from generic sibling audit/snapshot tools, though it does not explicitly name a sibling for contrast.

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?

'Immediately before signing' gives a clear temporal context for when to invoke the tool, and 'live' clarifies it must be run against current state. However, the description does not state when not to use it or point to alternatives such as treasury_preflight or merchant_audit, so the routing guidance is implied rather than 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 cover readOnly and non-destructive behavior. The description adds the scope of checks (funding, gas, chain intent, destination type, hazards) but does not disclose that the preflight costs $0.02 USDC, nor what it returns. Since read-only safety is already annotated, a middle 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 front-loaded sentence that enumerates all major check categories without filler. It is concise and earns every word.

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 output schema and five parameters, the description should explain what the agent gets back and how inputs relate to the checks. It only describes the scope of the check, leaving parameter behavior and return semantics underspecified for a preflight 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 0%, and the description does not explicitly map its check categories to parameters like expectedChainId, minGasReserveEth, plannedSpendUsdc, or destinationAddress. The concepts of 'gas' and 'chain intent' hint at some parameters, but planned spend is not even mentioned. For five undocumented parameters, this is weak compensation.

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 uses a specific action ('Check') and names concrete resources: Base ETH/USDC funding, gas, chain intent, destination type, and payment hazards. The 'before signing' phrase clearly frames this as a preflight check, distinct from balance-only tools like base_balance. It does not explicitly distinguish this from sibling payment_guard, so it falls short of a 5.

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 timing and context: use this before signing a Base payment, to verify funding, gas, chain intent, destination, and hazards. It does not mention exclusions or alternatives such as payment_guard, but the usage context is unambiguous enough for an agent to infer when it applies.

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, openWorldHint=true, and destructiveHint=false, so the tool is clearly a safe, read-only operation. The description adds useful behavioral context beyond annotations by listing the timestamped outputs and the receipt, and the title conveys the $0.01 USDC cost. No contradiction with annotations was found.

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 core action and then lists the key outputs. There is no filler or repetitive content, and every component contributes to understanding the tool's behavior.

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 provides a solid high-level overview and lists return components, but it leaves meaningful gaps: the semantics of expectedText and expectedStatus are not explained, there is no output schema to compensate, and no guidance is given for failure or mismatch behavior. It is adequate for a simple call, but not 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 for the lack of parameter documentation. It only clarifies that the URL is 'one public URL' and that 'status' appears in the output, but it does not explain expectedText, expectedStatus, how they interact, or how they affect verification and resulting receipt.

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 ('Verify'), a resource ('one public URL'), and the expected results: 'timestamped status, redirects, metadata, content hash, and a receipt.' This clearly distinguishes it from simple checking tools like check_url or multi-URL tools like batch_check_urls.

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 a single public URL verification task, especially via 'one public URL' and 'receipt,' which hints at evidence capture. However, it does not explicitly state when to prefer this over check_url or batch_check_urls, nor does it mention exclusions like non-public URLs or invalid inputs.

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