x402-is-octal
Is Octal: Validate whether a string consists only of octal digits (0-7). Returns true for valid octal notation like '755'.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Is Octal: Validate whether a string consists only of octal digits (0-7). Returns true for valid octal notation like '755'.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description carries the full burden. It discloses the validation rule (digits 0-7) and that valid input returns true, but it does not cover edge cases like empty strings, whitespace, non-string types, or octal prefix conventions. This is adequate but missing meaningful behavioral detail.
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 sentences contain no filler: the rule, the return value, and an example are stated efficiently. The description is front-loaded with the core behavior and is appropriately sized for a simple validotor.
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 validation rule is explained, but the empty input schema contradicts the stated need for a string, which is a critical invocation gap. There is no output schema, no annotations, and no guidance on false/edge-case behavior, so the description alone is not enough for reliable tool usage.
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 schema declares zero properties, so the baseline is 4, and the description does supply the input concept: a string and the allowed octal range. However, this described string input is absent from the schema, leaving an agent unable to determine a parameter name or how to pass the string. The semantic guidance is clear but the schema does not support it.
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 uses a specific verb and resource: validate whether a string consists only of octal digits (0-7), with a concrete example ('755') and return behavior. It distinguishes this tool from related validators like is-binary or is-hex by naming the exact character set.
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?
The intended use is clear from the wording 'Validate whether a string consists only of octal digits', but the description does not mention when not to use it or name alternative tools. No exclusions or alternatives are provided, so usage context is only implied.
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.