x402-aspect-ratio-calc
Aspect Ratio Calc: Aspect Ratio Calc
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Aspect Ratio Calc: Aspect Ratio Calc
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided and the description carries zero behavioral information. It does not disclose whether the tool is read-only, mutating, rate-limited, deterministic, or how it handles invalid data. With no annotations and a tautological description, the agent has no insight into the tool's behavior.
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 not genuinely concise—it repeats the tool name twice with a colon and provides zero informative content. This is under-specification rather than purposeful brevity, similar to the 'Process' calibration example.
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?
Even considering the zero-parameter schema and lack of output schema, the description is wholly inadequate. An agent cannot determine what inputs to derive from context, what calculation to perform, what format the result takes, or how this tool differs from the sibling 'x402-aspect-ratio'. The description adds no value for correct invocation.
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 there is no parameter semantics to explain. Per the rubric, 0 parameters receives a baseline of 4. The description adds no information about parameters, but none is needed since there are none to document.
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 'Aspect Ratio Calc: Aspect Ratio Calc' is a pure tautology—it restates the tool name without any verb, resource, or explanation of what the tool does. It also fails to distinguish itself from the sibling tool 'x402-aspect-ratio', which likely has overlapping functionality.
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 on when to use this tool, what problem it solves, or how it relates to alternatives like 'x402-aspect-ratio'. The description provides no context about input requirements, output expectations, or decision criteria for selection.
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.