x402-is-ssn
Is Ssn: Validate a US Social Security Number format (###-##-####) excluding invalid ranges. Provide value.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Is Ssn: Validate a US Social Security Number format (###-##-####) excluding invalid ranges. Provide value.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It usefully mentions the format mask and that invalid ranges are excluded, but it never states the return format (boolean vs. detail object), whether the operation is purely computational, or how input is received. 'Provide value' hints at conversation-supplied input but leaves the invocation behavior critically unstated.
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 extremely short but under-specified rather than efficiently concise. The 'Is Ssn:' prefix duplicates the tool name, and the cryptic 'Provide value' instruction adds noise without clarity. Only the single substantive sentence about validating the format earns its place.
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 validator with no output schema and no annotations, the critical missing piece is the invocation contract: how the agent supplies the SSN and what the tool returns. Without that information, the agent cannot reliably call the tool or interpret its result, despite the tool's low complexity.
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 zero schema properties, the baseline is 4, and 'Provide value' does add a signal that input is expected despite the empty schema. However, it does not specify what form the value should take or how an agent should pass it, which is a significant gap for a validator that obviously requires an SSN to operate.
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 states a specific verb ('Validate') and resource ('US Social Security Number') with the format mask (###-##-####), so an agent can identify its function and distinguish it from the many is-* validator siblings. However, the 'Is Ssn:' prefix merely restates the tool name and adds no meaning, and there is no explicit differentiation from sibling validators like x402-is-phone or x402-is-email.
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 guidance is given, no alternatives are named, and no exclusions are stated among the dozens of sibling validators. The only hint is the imperative 'Provide value,' which fails to explain how the value is supplied — a real problem given the schema defines zero parameters for passing an SSN.
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.