x402-matrix-shape
Matrix Shape: Matrix Shape
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Matrix Shape: Matrix Shape
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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 computation, no return value, no side effects, no edge cases. This is effectively zero behavioral transparency for a tool with no annotation coverage to fall back on.
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, not conciseness—the two words simply restate the name and carry no informational value. A concise description would still state what the tool computes or returns; this one earns no credit for brevity because nothing was actually said.
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 tautological description, an agent has zero actionable information about this tool. It sits among roughly fifteen matrix-related siblings (x402-matrix-add, x402-matrix-transpose, x402-matrix-is-square, etc.), making the complete absence of distinguishing information especially damaging.
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 schema declares zero parameters, so per rubric the baseline is 4 and there is nothing for the description to document. Notably, a matrix-shape tool would normally require a matrix input, and the total absence of parameters is itself unexplained, but the description cannot be penalized for failing to document parameters that do not exist.
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 'Matrix Shape: Matrix Shape' is a pure tautology—the body text merely repeats the tool name with a colon. It states no verb, no concrete resource, and no operation, leaving an agent to guess whether this computes dimensions, validates shape, or does something else entirely. Among dozens of x402-matrix-* siblings it offers zero differentiation.
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?
There is no guidance at all about when to invoke this tool versus alternatives. It never references sibling tools like x402-matrix-rows, x402-matrix-cols, x402-matrix-transpose, or x402-matrix-determinant, nor any condition that would select one over another. An agent must rely entirely on inference from the name.
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.