x402-temperature-convert
Temperature Convert: Temperature of convert.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| to | No | To to process | |
| from | No | From to process | |
| value | No | Value to process |
Temperature Convert: Temperature of convert.
| Name | Required | Description | Default |
|---|---|---|---|
| to | No | To to process | |
| from | No | From to process | |
| value | No | Value to process |
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. It does not state supported temperature scales, accepted input formats, error behavior for invalid units, or return shape. An agent has no way to anticipate 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 only seven words, but this is under-specification rather than conciseness. The single sentence repeats the tool name and provides no front-loaded functional information. No sentence in the description earns its place because none conveys 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 3-parameter tool with no annotations, no output schema, and no enums, the description must explain unit formats and invocation semantics, but it explains nothing. The tool sits among hundreds of siblings including multiple temperature-specific tools, and the definition gives an agent no basis for correct invocation. This is completely inadequate.
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?
Although schema coverage is 100%, the schema descriptions are themselves tautological ('To to process', 'From to process', 'Value to process') and add no meaning beyond the parameter names. The description does not compensate: it never explains what values 'from' and 'to' accept (unit codes? full names?), nor what format 'value' should take, despite being typed as a string without an enum.
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 'Temperature Convert: Temperature of convert' is a garbled restatement of the tool name, adding zero information beyond what the name x402-temperature-convert already conveys. It does not state what the tool does, what units are supported, or how it differs from sibling tools like celsius-to-fahrenheit, fahrenheit-to-celsius, temperature, or units-convert. This is a tautology, not a purpose statement.
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 no guidance on when to use this tool versus the many overlapping siblings (celsius-to-fahrenheit, fahrenheit-to-celsius, celsius-to-kelvin, units-convert, temp, temperature). It neither states a preferred use case nor names alternatives or exclusions. With zero guidance, an agent cannot determine when this tool is the right choice.
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.