x402-is-email
Is Email: Validate an email address format (local@domain.tld). Provide value or input; returns true for valid emails.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Is Email: Validate an email address format (local@domain.tld). Provide value or input; returns true for valid emails.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure, and it only reveals that a valid email yields true. It does not state what invalid or malformed input returns, whether validation is strict RFC-compliant or lenient, whether there is any network/external dependency, or how errors are surfaced. For a tool with zero annotation coverage, this is a thin behavioral contract.
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?
Two short sentences that front-load the purpose and deliver the return behavior with no filler. The 'Is Email:' label is redundant with the tool name and slightly wasteful, but overall the description is tight and readable.
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 validation tool this should be easy to make complete, but it is not: the empty input schema plus 'Provide value or input' leaves the agent unable to construct a valid call. The description also fails to address the near-duplicate sibling x402-validate-email, and with no output schema the agent has no confirmation of the false-case behavior. The core invocation contract is missing.
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?
The input schema declares zero properties, yet the description instructs the agent to 'Provide value or input' — a direct conflict with the schema. With 0 params the baseline is 4, but here the tool evidently requires an argument that the schema does not define and the description does not name, type, or structure. The only parameter hint is vague ('value or input') and contradicts the machine-readable contract.
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 ('email address format (local@domain.tld)') plus the return contract ('returns true for valid emails'). This is clear and actionable. However, the redundant 'Is Email:' prefix mirrors the tool name, and the description does not differentiate this tool from the sibling x402-validate-email, which appears to serve the same purpose.
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?
There is no guidance on when to use this tool versus alternatives. The brief 'Provide value or input' is the only usage hint, but it omits how the input should be provided and gives no exclusions or comparison to obvious siblings like x402-validate-email, x402-email-verify, or x402-extract-emails. The agent must guess which validator to select.
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.