x402-chebyshev
Chebyshev: Chebyshev polynomials.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Chebyshev: Chebyshev polynomials.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of disclosure, and it discloses nothing about behavior. It does not mention whether the tool is read-only, what kind of computation it performs, what inputs it expects, or what the output looks like.
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 effective conciseness. It contains a redundant label ('Chebyshev:') and a noun phrase that repeats the tool's name concept without adding actionable information.
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 tool has no output schema, no annotations, and no parameter schema to convey context. The description is therefore the only source of information, and it is grossly insufficient: an agent cannot tell what action to take, what result to expect, or how this differs from nearby tools.
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 is empty with zero parameters, so there is no semantic burden on the description. Per the baseline for zero-parameter tools, a 4 is appropriate because no parameter meanings are missing.
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 'Chebyshev: Chebyshev polynomials' is essentially a labeled noun phrase, not a statement of function. It identifies the mathematical subject but does not say whether the tool evaluates, computes, generates, or explains Chebyshev polynomials. It is only marginally distinguishable from siblings like x402-chebyshev-distance and x402-chebyshev-inequality, and even that distinction is weak.
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 the many sibling math and Chebyshev-related tools. No context, examples, or exclusions are provided, so an agent cannot determine why this tool exists or when it is the correct choice.
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.