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.