x402-email-security
Email Security: Email security checks — spoofing, DMARC, SPF.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| input | No | Input to process | |
| domain | No | Domain to process |
Email Security: Email security checks — spoofing, DMARC, SPF.
| Name | Required | Description | Default |
|---|---|---|---|
| input | No | Input to process | |
| domain | No | Domain to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behavior itself; it only enumerates check types and doesn't mention network usage, data sent, rate limits, or whether the operation is read-only. There is no return format or side-effect information, though 'checks' weakly implies a read operation.
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 text is short and mostly front-loaded, but it repeats the 'Email Security' category already present in the tool name and spends no space on operational details. It is compact rather than efficiently informative.
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 tool has no output schema and no annotations, so the description is the only source of behavior; it doesn't define output shape, required parameter combinations, or which checks are included beyond three labels. Given the generic schema, this is insufficient for an agent to reliably invoke it.
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 coverage is 100%, so the baseline is 3, but the schema's descriptions ('Input to process', 'Domain to process') are generic. The description names domain-related checks but doesn't say whether domain is required, what 'input' means, or how the two parameters interact.
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 lists specific checks (spoofing, DMARC, SPF) but uses the category label 'Email Security' and 'email security checks' with no explicit verb, so the intended action is inferred rather than stated. It doesn't distinguish this aggregate from siblings like x402-spf-validate or x402-dmarc-check.
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 text states when to prefer this tool over the more specific x402-spf-validate, x402-dmarc-check, or x402-dkim-check siblings. No conditions, exclusions, or alternatives are given, so the agent gets no usage guidance.
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.