Anyway Possible Paid Agent Utilities

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

Annotations already establish read-only and non-destructive behavior. The description adds meaningful extra context: the call is paid, and partial failures return isolated results. It does not cover rate limits or output details, but the incremental behavioral disclosure is valuable.

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 that covers scope, cost, batching, and failure isolation without filler. It is front-loaded with the verb and object, making it easy to scan.

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 two-parameter read-only tool with annotations, the description is mostly functional: it explains the core urls parameter, the batch limit, and the paid nature. However, it leaves expectedStatus meaning, the precise meaning of 'check', and the response shape unspecified, and there is no output schema to fill that gap.

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 meaning. It adds useful context for urls ('public', 'up to ten'), but it completely omits expectedStatus, including its optionality and meaning. An agent would have to infer expectedStatus from the property name and schema constraints.

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 action ('Check'), the resource ('up to ten public URLs'), and the batching mode ('in one paid call'). It does not explicitly differentiate from siblings like verify_web_evidence, and 'check' leaves the exact nature of the check somewhat implicit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the tool is for checking multiple public URLs in a single paid call, which gives useful context. However, it provides no explicit guidance on when not to use it or which sibling tool to choose instead, so the agent must infer the appropriate usage.

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 carry the safety profile (readOnlyHint=true, destructiveHint=false), and the description is consistent with that — 'Score' and 'identify' are pure analysis verbs with no mutation implied. The description adds context by referencing on-chain 'observed Base USDC activity', which aligns with openWorldHint=true, and the title discloses a $0.05 USDC invocation cost — meaningful behavioral context beyond the annotations. It does not describe return behavior in detail, but for a read-only analysis tool the disclosure burden is largely met.

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 front-loaded sentence leads with the verb and resource and lists the scoring dimensions efficiently with zero fluff. The title handles the cost disclosure separately. It is appropriately sized, though the compound outcome ('then identify the largest revenue issue') could have been given slightly more structural emphasis.

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?

There is no output schema, so the description bears the burden of explaining return values; it communicates high-level results (a score and a revenue issue) but not their shape or fields. The biggest completeness gap is the unexplained 'queries' parameter, which an agent must populate to invoke the tool correctly. Rich annotations and the title's cost disclosure help, but the missing parameter semantics and return-format detail leave clear gaps.

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, but it never defines what 'queries' means — an agent cannot tell whether these are search terms, merchant aliases, or lookup keys, or what format to use. payTo is self-explanatory from its Ethereum-address pattern and excludePayers is clear from its name, but the required queries field is genuinely ambiguous. The description's mention of 'discovery' and 'buyer signals' hints at the purpose of queries but never states it explicitly.

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 a specific resource ('an x402 merchant'), then enumerates the exact scored dimensions: discovery, reliability, buyer signals, and observed Base USDC activity. It also states a clear second outcome ('identify the largest revenue issue'). This clearly differentiates it from siblings like batch_check_urls and treasury_preflight, which target different resources and outputs.

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 explicit when-to-use guidance and no mention of alternatives. Usage is only implied: because the description says what the tool scores, an agent can infer it is for evaluating merchants, but nothing tells it when to prefer merchant_snapshot over batch_check_urls or treasury_preflight, nor when not to use it.

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 adds meaningful detail about what is checked (funding, gas, chain intent, destination type, hazards) beyond the readOnly and destructive annotations. However, it does not disclose output format, error behavior, or whether results are merely advisory, so behavioral transparency remains partial.

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 focused sentence, front-loaded with the verb and resource, and every listed item adds meaning. There is no repetition or unnecessary prose.

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 no return-value description, the tool's actual result is left unspecified, which is critical for a preflight/decision-support tool. The optional parameters also lack usage guidance, so an agent knows roughly what the tool does but not exactly what to send or what the response means.

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-level detail. It only vaguely maps to the fields (funding/gas ≈ mintGasReserveEtth and plannedSpendUsdc, chain intent ≈ expectedChainId), but it never explains string formats, units, decimal precision, or the relationship between 'address' and 'destinationAddress'.

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 ('Check') and a clear resource: Base ETH/USDC funding, gas, chain intent, destination type, and payment hazards. It clearly conveys what the tool does, though it does not explicitly distinguish itself from the 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?

Provides useful timing context with 'before signing', which tells an agent when to invoke this preflight check. It does not list exclusions or name alternative tools, but the sibling names are distinct enough that the intended use case is reasonably 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 cover readOnlyHint=true and destructiveHint=false, so the safety profile is known. The description adds useful behavioral context by specifying that results are timestamped and that a receipt is produced, plus the implicit restriction to 'public' URLs. However, the $0.01 USDC cost is a significant behavioral trait that is absent from the description and only appears in the title.

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 action and then lists the return payload. There is no redundancy or filler. It could earn a 5 if it had folded in the cost or usage conditions, but as written it is appropriately tight.

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 explains what the tool returns, which helps given there is no output schema. But it leaves out critical invocation context: how expectedText/expectedStatus affect verification, when to pick this tool over siblings, and the monetary cost (present only in the title). It is adequate but has clear gaps.

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 gives only types/formats for url, expectedText, and expectedStatus, with no semantic descriptions, so schema_description_coverage is essentially zero. The description does not explain what expectedText or expectedStatus mean for the verification, nor how they modify the behavior. Only 'url' is implicitly covered by 'one public URL'.

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 ('Verify') with a concrete resource ('one public URL') and enumerates the outputs (timestamped status, redirects, metadata, content hash, receipt). It is clearly not a generic list or snapshot tool, and the singular 'one public URL' helps separate it from the sibling check_urls, though it never names that sibling explicitly.

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 explicit when-to-use or when-not-to-use guidance, and no alternatives are named. The phrase 'one public URL' implies a scope limit but does not tell the agent when to prefer verify_web_evidence over check_urls, snapshot, or archive. The cost signal lives only in the title, not in the description.

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