hex-encode
Convert UTF-8 text to a hexadecimal string. Use as a hex string encoder or text-to-hex converter in deterministic agent pipelines. Costs $0.001 USDC on Base via x402.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes |
Convert UTF-8 text to a hexadecimal string. Use as a hex string encoder or text-to-hex converter in deterministic agent pipelines. Costs $0.001 USDC on Base via x402.
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes |
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 carries the full burden. It does disclose a genuinely important behavioral trait not present in structured fields – the $0.001 USDC x402 payment requirement on Base – and asserts deterministic output. However, it omits output format (case of hex digits), behavior on invalid/non-UTF-8 input, and the schema's 250000-char ceiling.
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 lead sentence is well front-loaded and earns its place. The middle sentence is largely redundant SEO phrasing ('hex string encoder or text-to-hex converter') that repeats the first sentence's meaning without adding information. The cost disclosure is placed last, where it is easy to miss.
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 one-parameter pure-computation tool with no annotations and no output schema, the description covers the core purpose and the payment model. It falls short on the input constraints and the precise output format an agent would want to chain this into a pipeline.
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 has 0% description coverage for the single 'text' parameter. The description only implies the input is UTF-8 text; it says nothing about the 250000-character max length or any constraints. With one undocumented parameter, the schema and description together still leave the input contract thin.
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: 'Convert UTF-8 text to a hexadecimal string.' This is unambiguous and implicitly distinguishes it from the sibling hex-decode (inverse operation), though it never names that sibling explicitly. Clear but lacking explicit sibling 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?
The sentence 'Use as a hex string encoder or text-to-hex converter in deterministic agent pipelines' is keyword-stuffed restatement of the purpose rather than real routing guidance. No when-to-use conditions, no when-not, and no reference to the hex-decode sibling it pairs with.
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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