x402-sec-suite
Sec Suite: Security suite — audits, scans, and intel.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| target | No | Target to process |
Sec Suite: Security suite — audits, scans, and intel.
| Name | Required | Description | Default |
|---|---|---|---|
| target | No | Target to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations, so the description carries the full burden of behavioral disclosure. It does not state whether the tool reads, mutates, scans external systems, needs authentication, returns a report, or has side effects. 'Audits, scans, and intel' hints at behavior but does not disclose consequences or outputs.
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 and front-loaded, but the opening 'Sec Suite: Security suite' is redundant with the tool name and does not earn its place. A few more concrete details about scope and output would make the brevity valuable rather than under-specifying.
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 annotations, no output schema, and only a single generic parameter, the description is not complete enough for an agent to invoke the tool correctly. The agent cannot determine what to put in target, what a successful invocation produces, or when this suite should be preferred over related security tools.
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%, so the baseline is 3. However, the only parameter description, 'Target to process', is highly generic, and the tool description adds no clarification about what kind of target is expected or whether the parameter is optional despite being unrequired.
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 is largely tautological: 'Sec Suite: Security suite' restates the tool name. The added phrases 'audits, scans, and intel' give only a vague sense of capability, not a specific verb-resource operation, and they do not distinguish this from security-related siblings like secret-scan or service-discover.
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 when-to-use or when-not-to-use guidance is provided. It does not name alternatives, explain what kind of target or security scenario this suite is for, or clarify how it differs from the many other security/suite tools in the sibling list.
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.