x402-email-report
Email Report: Email address report — verification and reputation.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| No | Email to process |
Email Report: Email address report — verification and reputation.
| Name | Required | Description | Default |
|---|---|---|---|
| No | Email to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations are absent, so the description carries the full burden of behavioral disclosure. It does state that the report covers verification and reputation, but it does not reveal whether the tool makes network requests, whether it is read-only, or what reputation sources are used. For an email-related tool with no annotation support, this is a significant gap.
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 very short, but it contains redundancy: 'Email Report' is echoed by 'Email address report' and the word 'email' appears three times. It is front-loaded and has no fluff, but the repetition prevents it from being a model of conciseness.
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, and the description does not describe the report's structure, fields, or example result—only that verification and reputation are covered. It also omits any usage context or distinctions from similar email tools. For an agent, the expected return format is ambiguous.
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% for the single 'email' parameter ('Email to process'), which sets the baseline at 3. The tool description adds no parameter-specific detail beyond the schema, so there is no basis to award a higher score.
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 it produces an 'Email address report — verification and reputation,' clearly naming the resource (email) and the two focus areas. The inclusion of 'reputation' differentiates it from siblings like x402-email-verify that only cover verification. It lacks an explicit verb, but 'report' conveys the action adequately.
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 guidance is given on when to choose this tool over related siblings such as x402-email-verify, x402-email-security, or x402-email. There are no conditions, exclusions, or alternative routing, so the agent must infer usage from the tool name alone.
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.