x402-is-achilles
Is Achilles: Is Achilles
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Is Achilles: Is Achilles
| 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 discloses nothing. It does not say whether the tool is a read-only check, how input is supplied, what the response looks like, or any edge-case behavior. The description provides no behavioral value whatsoever.
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, but this is under-specification rather than genuine conciseness. 'Is Achilles: Is Achilles' repeats the tool name and contributes no information; a one-line definition could easily have stated what the tool checks and returns while remaining tight.
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 tool with no output schema, no annotations, and an empty parameter list, the description is the sole source of meaning, and it is entirely uninformative. An agent cannot know the tool's domain concept, its input channel, or its return value. This is completely inadequate.
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 has zero parameters and 100% coverage, so per the rubric the baseline is 4. There are no parameters whose semantics the description must clarify. The oddity that a predicate named 'is-achilles' takes no explicit input is a purpose-level concern, not a parameter-semantics one.
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 'Is Achilles: Is Achilles' is a verbatim tautology of the tool name. It never states what an Achilles number is, what operation is performed, or what the result means. The existence of a distinct sibling x402-is-achilles-number makes the ambiguity worse, since the description cannot help an agent differentiate the two.
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 exists on when to invoke this tool versus any alternative. There are no stated conditions, no prerequisites, and no mention of sibling tools like x402-is-achilles-number. An agent has zero basis for selecting this tool.
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.