x402-partition
Partition: Partition
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Partition: Partition
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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, yet it reveals nothing: no side effects, no return format, no sensitivity, no preconditions, and no indication of what operation actually executes.
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?
Two words is under-specification, not conciseness. There is no front-loaded information whatsoever, and the minimal length earns nothing because it contains 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?
This is a zero-parameter tool with no description value, no annotations, no output schema, and an ambiguous name that overlaps with sibling x402-partition-number. An agent cannot know what this tool does, when to use it, or what it will return, making it impossible to invoke correctly with confidence.
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, so the 0-params baseline of 4 applies: there are no parameter semantics the description needs to add. The description neither helps nor harms this dimension, though the empty schema combined with the uninformative description makes it hard to understand what input the tool even conceptually operates on.
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 'Partition: Partition' is a pure tautology that merely restates the tool name. It provides no verb, no resource, and no indication of what kind of partition is involved (integer partition, set partition, disk partition, etc.). It is also completely indistinguishable from the sibling tool x402-partition-number.
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?
The description offers zero guidance on when to use this tool versus alternatives. Among thousands of siblings including the closely named x402-partition-number, there is no routing information at all, so an agent cannot determine which tool to select.
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.