x402-secret-scan
Secret Scan: Secret Scan
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| input | No | Input to process |
Secret Scan: Secret Scan
| Name | Required | Description | Default |
|---|---|---|---|
| input | No | Input to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries the full burden of behavioral disclosure — and it discloses nothing. An agent cannot tell whether this detects secrets in text, checks for leaked credentials, scans code repositories, or returns a structured report. No mention of input constraints, output shape, side effects, or edge cases.
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 short, but this is under-specification rather than conciseness. The 'Secret Scan: Secret Scan' structure appears to be a header followed by a repeat of the header — no sentence earns its place because nothing informative is said.
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 annotations, no output schema, one a-semantic parameter, and a huge sibling list of overlapping security tools, the description is completely inadequate. There is no way for an agent to correctly construct a call or interpret a result 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?
While schema coverage is nominally 100%, the sole parameter's description is the generic boilerplate 'Input to process,' which conveys no semantics. The tool description does nothing to compensate: it never clarifies what format the input should take (text snippet? URL? JSON payload?) or what the input represents in the context of a secret scan.
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 'Secret Scan: Secret Scan' is a pure tautology — it restates the tool name and title verbatim with zero additional content. There is no verb, no resource, no operation described, and no way to distinguish this from the dozens of security-related siblings like x402-contract-scan, x402-wallet-scan, or x402-api-key-detect.
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 guidance whatsoever on when to use this tool. The sibling list contains at least a dozen plausible alternatives (allowance-scan, api-key-detect, password-leak, token-rugcheck, sec-suite, email-security), and nothing in the description helps an agent choose among them.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
The tool set is saturated with near-duplicates and synonyms: character-count vs char-count, clamp vs clamp-value, is-abundant vs is-abundant-num vs is-abundant-number, and fetch vs browser-scrape vs web-scrape vs text-scrape. Generic names like 'difference', 'normalize', 'range', and 'partition' make the boundaries even harder for an agent to determine.
Most tools share a x402- kebab-case prefix, but the set mixes noun-only names (math, hash, prime, time), verb-first names (get_stats, find, validate), auto-generated names (x402-publish-1787853294312-base-account), and inconsistent variants like temp vs temperature vs temperature-convert. This is not a coherent verb_noun convention despite the common prefix.
1677 tools is an extreme count that creates selection paralysis and makes coherent agent use impractical. A utility or marketplace server at this scale needs sub-services or namespacing rather than a flat tool list.
The surface has broad token coverage across many utility categories, but the marketplace aspect is incomplete: service_discovery and get_stats exist, yet there are no generic publish, update, delete, or account-management operations. Utility families also contain redundant variants without clear completion or lifecycle structure.