x402-language-name
Language Name: Language Name
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| code | No | Code to process | |
| lang | No | Lang to process | |
| input | No | Input to process |
Language Name: Language Name
| Name | Required | Description | Default |
|---|---|---|---|
| code | No | Code to process | |
| lang | No | Lang to process | |
| input | No | Input to process |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry full behavioral disclosure, but it discloses nothing. It does not mention whether the tool is read-only, what inputs are required, what output format to expect, or any side effects or constraints.
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 rather than conciseness. The four words add no information and do not earn their place in a useful way.
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 three optional-looking parameters, no output schema, no annotations, and an enormous sibling list, the description is far too incomplete. An agent cannot determine what to pass, what to expect back, or when to invoke this tool over any of the many language-related alternatives.
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 description coverage is 100%, each parameter description is a vacuous placeholder: 'Code to process', 'Lang to process', and 'Input to process'. The tool description adds no clarification about whether 'code' means ISO 639 code, language code, source code, or something else, so the schema's superficial coverage does not meaningfully help an agent.
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 'Language Name: Language Name' is a bare tautology that restates the tool name without any verb or resource. It does not say whether the tool returns a language name from a code, detects a language, or performs some other operation, and it is indistinguishable from siblings like x402-language-detect, x402-language-guess, and x402-language-by-country.
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 about when to use this tool versus alternatives. With a large sibling set containing several language-related tools, the agent is left without any basis for selecting this tool over, for example, x402-language-detect or x402-language-guess.
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.