x402-remove-duplicates
Remove Duplicates: Remove Duplicates
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Remove Duplicates: Remove Duplicates
| 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 disclosing behavior, but it merely repeats the tool name. It does not state what type of input is processed, how duplicates are identified, whether original order is preserved, or what the output looks like. For a tool that seems to mutate/filter data, there is no detail on side effects or format requirements.
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 brevity here is under-specification rather than conciseness: 'Remove Duplicates: Remove Duplicates' is a redundant header-like repetition that conveys zero information. It does not front-load any useful content because there is no useful content.
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?
For a tool with no annotations, no output schema, and a large family of ambiguous transformation siblings, the description is entirely inadequate. An agent cannot tell what data to pass, what 'duplicates' refers to, or how this tool differs from x402-remove-duplicates-words and x402-unique-array. The description is effectively absent.
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 and schema description coverage is reported as 100%, so the schema is effectively empty rather than under-documented. Because there are no parameters to explain, the description is not required to add parameter meaning; however, the total absence of any description of what input is expected (implicitly via a request body or external data source) leaves the agent without guidance. Baseline 3 applies due to the vacuous schema coverage.
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 is 'Remove Duplicates: Remove Duplicates' — a pure tautology that restates the tool name without any specific verb, resource, or behavior. It does not clarify what kind of duplicates (array items, lines, words?) are removed, so an agent cannot distinguish it from siblings like x402-dedupe, x402-unique-array, x402-remove-duplicates-words, or x402-unique-lines.
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 given about when to use this tool versus the many related siblings (x402-remove-duplicates-words, x402-unique-array, x402-unique-lines, x402-dedupe). There is no mention of input format, expected context, or exclusions, leaving the agent to guess the appropriate invocation scenario.
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.