x402-charset-detect
Charset Detect: Detect text character encoding. 🆓 5 free trial calls per signed wallet
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | No | ||
| input | No |
Charset Detect: Detect text character encoding. 🆓 5 free trial calls per signed wallet
| Name | Required | Description | Default |
|---|---|---|---|
| text | No | ||
| input | No |
Changes observed during successful MCP inspections.
Input schema / properties / input / descriptionRemoved value: -"Input to process"Input schema / properties / text / descriptionRemoved value: -"Text to process"Input schema / properties / textAdded value: +{
+ "description": "Text to process",
+ "type": "string"
+}Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are supplied, so the description carries the full disclosure burden, yet it says nothing about the response shape, confidence scores, supported encodings, or failure behavior. The one piece of added context — '5 free trial calls per signed wallet' — covers payment/auth but not operational 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?
Two short sentences, purpose front-loaded, no wasted prose. The pricing/emoji fragment is mild noise but does not obscure the core statement.
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 tool with no annotations, no output schema, and an ambiguous two-parameter schema, the description should at least explain the expected input field and the nature of the result. It covers neither, leaving key decisions to guesswork.
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?
With 0% schema description coverage and two overlapping parameters named 'text' and 'input', the description must clarify which to supply; it says nothing. This ambiguity is the single most likely cause of a malformed call and is left entirely unexplained.
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?
States a specific verb and resource: detect text character encoding. An agent can distinguish it from nearby siblings like x402-utf8-validate or x402-mojibake-repair, though the description never explicitly disambiguates between them.
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 when-to-use guidance, no prerequisites, and no mention of alternatives such as validation or repair tools. The only contextual sentence concerns billing, not invocation.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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