x402-crates-package-info
Crates Package Info: Crates Package Info
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | No | Name to process | |
| crate | No | Crate to process | |
| input | No | Input to process | |
| package | No | Package to process |
Crates Package Info: Crates Package Info
| Name | Required | Description | Default |
|---|---|---|---|
| name | No | Name to process | |
| crate | No | Crate 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?
With no annotations provided, the description carries the full burden of behavioral disclosure, and it reveals nothing. It does not mention what the tool returns, whether it performs a lookup, what data sources it uses, error conditions, or any side effects. The description is behaviorally empty.
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 short, but this is under-specification rather than conciseness. The phrase 'Crates Package Info: Crates Package Info' is redundant and contains zero informative content. Every word could be removed without losing meaning, which indicates the text 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?
Given four parameters, no output schema, no annotations, and a huge sibling list, the description is completely inadequate. An agent cannot determine expected input formats, return values, error behavior, or how this tool differs from npm-package-info and pypi-package-info. Nothing needed for correct invocation is present.
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?
Although schema description coverage is nominally 100%, the parameter descriptions are meaningless placeholders: 'Name to process', 'Crate to process', 'Input to process', 'Package to process'. They do not clarify what values each parameter expects, how they relate to crates.io or Rust packages, or which combination is valid. The description adds no meaning beyond these hollow schema strings.
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 'Crates Package Info: Crates Package Info' is a pure tautology that merely repeats the tool name. It states no verb or action, gives no indication of what 'Crates Package Info' means (e.g., Rust crate metadata), and does not distinguish this tool from any sibling beyond the name itself.
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. Among hundreds of siblings (e.g., npm-package-info, pypi-package-info), the description does not clarify that this is for Rust crates, nor does it mention any alternatives, exclusions, or prerequisites. An agent has zero help in selecting it over other package-info 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.