x402-pythagorean-leg
Pythagorean Leg: Pythagorean Leg
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Pythagorean Leg: Pythagorean Leg
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations, and the description discloses no behavioral traits: no mention of inputs, expected output, side effects, or error conditions. The description carries the full burden and fails to provide any behavioral context beyond the tool's name.
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, but this is under-specification rather than intentional conciseness. While there is no wasted text, the single sentence is redundant and provides no useful information, so it does not earn 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?
Despite having zero parameters and no output schema, the description is completely inadequate. An agent cannot determine what inputs are needed, what the output is, or how this tool behaves. The context signals and sibling list do not compensate for the missing behavioral description.
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 has zero parameters, so the schema is fully covered by default. With no parameters, the description does not need to explain parameter semantics, making baseline 4 appropriate. However, the description's complete lack of context about what computation occurs means the score is lowered to 3, as it still does not confirm what the tool does.
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 'Pythagorean Leg: Pythagorean Leg' is a pure tautology that restates the tool name without adding any information. It does not state a verb, resource, or scope, and provides no way to distinguish this tool from the sibling x402-pythagorean or any other geometry tool.
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 provided about when to use this tool versus alternatives. The description does not mention the Pythagorean theorem, when to compute a leg versus a hypotenuse, or how this differs from sibling x402-pythagorean or triangle tools.
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.