x402-pypi-package-info
Pypi Package Info: Pypi Package Info
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | No | Name to process | |
| input | No | Input to process | |
| package | No | Package to process |
Pypi Package Info: Pypi Package Info
| Name | Required | Description | Default |
|---|---|---|---|
| name | No | Name to process | |
| input | No | Input to process | |
| package | No | Package to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure, and it discloses nothing — no mention of read-only behavior, network dependency, return shape, or limitations. It merely restates 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?
Seven words, half of which are a redundant repetition of the tool name — this is under-specification, not conciseness. There is no information content that would help an agent select or invoke the tool.
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 generic three-parameter schema, the description is the only source of guidance, and it provides none. An agent facing a sibling list of 1,000+ similarly named tools has no basis for selecting or correctly invoking this one.
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 nominally 100%, but every parameter description is vacuous boilerplate ('Name to process', 'Input to process', 'Package to process') that adds no meaning beyond the parameter name itself. The description adds nothing to disambiguate which of the three optional parameters (name, input, package) should be populated for a package-info lookup.
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, 'Pypi Package Info: Pypi Package Info', is a pure tautology that restates the tool's name twice without stating a verb or describing the operation. It provides no resource, action, or scope, and fails to distinguish this tool from its registry siblings x402-npm-package-info and x402-crates-package-info.
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 usage context is provided anywhere in the description. There is no mention of when to prefer this tool over x402-npm-package-info or x402-crates-package-info, nor any exclusions, prerequisites, or alternative routing guidance.
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.