x402-spf-validate
Spf Validate: Spf Validate
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| input | No | Input to process | |
| domain | No | Domain to process |
Spf Validate: Spf Validate
| 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?
No annotations are provided, and the description discloses zero behavior: no side effects, no return format, no failure modes, no explanation of what is checked. The full burden falls on the description, and it carries none.
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, which is technically concise, but it is under-specified rather than efficiently specified. There is no front-loaded verb or clarifying clause that 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?
With no annotations, no output schema, and a name that only hints at SPF (Sender Policy Framework), an agent has essentially no information to select or invoke this tool correctly. Among hundreds of siblings, there is nothing explaining what input to pass, what the tool returns, or how SPF validation behaves.
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%, and parameters are documented as 'Input to process' and 'Domain to process', so the schema provides minimal generic descriptions. The tool description adds nothing beyond those generic labels, and it does not clarify how 'input' differs from 'domain' or what format either should take. The baseline of 3 for full coverage drops to 2 because the schema descriptors themselves are near-tautological.
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 'Spf Validate: Spf Validate' is a pure tautology that restates the tool name with no verb, resource, or function. It gives no indication of what SPF validation does (e.g., checking SPF DNS records for a domain), and there are many domain/email/validation sibling tools it does not distinguish itself from.
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 like x402-dmarc-check, x402-dkim-check, x402-email-verify, or x402-validate. The description contains no context about when SPF validation is appropriate.
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.