x402-normalize
Normalize: Normalize
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| form | No | Form to process | |
| input | No | Input to process |
Normalize: Normalize
| Name | Required | Description | Default |
|---|---|---|---|
| form | No | Form to process | |
| input | No | Input to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of disclosing behavior, but it discloses nothing beyond the tautological verb. There is no mention of what normalization is applied, what the output looks like, whether side effects occur, or any constraints such as accepted input formats.
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 malformed conciseness—an under-specification rather than efficient writing. The single sentence is a tautology and conveys zero 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?
The definition is completely inadequate for an agent to select or invoke this tool. With no annotations, no output schema, two vaguely described optional parameters, and hundreds of similarly named siblings, the description provides none of the needed context about what input is expected, what normalization is performed, or what output results.
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 description coverage is 100%, giving the baseline of 3 even though the tool description adds no parameter information. However, the schema descriptions themselves ('Form to process', 'Input to process') are generic placeholders that provide little real semantic value, so this is a weak 3 rather than a strong 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 "Normalize: Normalize" is a pure tautology that restates the tool name without specifying a distinct resource, operation scoping, or behavior. Among the many normalize-related siblings (x402-address-normalize, x402-feed-normalize, x402-normalize-whitespace, x402-min-max-normalize, etc.), this gives an agent no way to tell what is being normalized or why this tool exists.
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 when-to-use guidance is provided. The description neither states the intended context nor names any alternatives or exclusions, despite the massive sibling list containing numerous competing normalize/standardize 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.