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paladini

devutils-mcp-server

hex_decode

Convert hexadecimal strings to readable plain text for developers working with encoded data.

Instructions

Decode a hexadecimal string back to plain text.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYesThe hex string to decode

Implementation Reference

  • Implementation of the hex_decode tool, which cleans the input string and uses Buffer to convert hex back to UTF-8.
    server.tool(
      "hex_decode",
      "Decode a hexadecimal string back to plain text.",
      { input: z.string().describe("The hex string to decode") },
      async ({ input }) => {
        try {
          const cleaned = input.replace(/\s/g, "").replace(/^0x/i, "");
          const decoded = Buffer.from(cleaned, "hex").toString("utf-8");
          return { content: [{ type: "text" as const, text: decoded }] };
        } catch {
          return {
            content: [
              { type: "text" as const, text: "Error: Invalid hex input" },
            ],
            isError: true,
          };
        }
      }
    );
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full disclosure burden. Fails to specify error behavior on invalid hex input, output character encoding (UTF-8 vs ASCII), or handling of formatting variations (0x prefix, spaces, case sensitivity). Only states the basic operation without behavioral edge cases.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Extremely concise at 7 words in a single sentence. No redundant phrases or filler. Front-loaded with the operation (Decode) immediately establishing intent. No structural waste.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Adequate for a simple single-parameter utility, but incomplete given the lack of annotations and output schema. Missing: valid input format specifications, error handling documentation, and relationship to hex_encode. Just meets minimum viability for a low-complexity conversion tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with the single parameter 'input' fully described as 'The hex string to decode'. The description implies the input format but adds no syntax constraints (e.g., even length requirement, allowed character sets) or examples that would help construct valid arguments. Baseline 3 appropriate given schema completeness.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clear verb (decode) and resource (hexadecimal string) with explicit output format (plain text). The term 'hexadecimal' distinguishes it from sibling base64_decode. However, it does not explicitly contrast with hex_encode (its inverse) or mention when to prefer this over other encoding/decoding siblings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance provided on when to use this tool versus alternatives like base64_decode, or when to use the inverse hex_encode. No mention of prerequisites (e.g., valid hex format requirements) or error handling for malformed input.

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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