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paladini

devutils-mcp-server

url_decode

Decode URL-encoded strings to restore original text, useful for processing web data and debugging encoded URLs.

Instructions

Decode a URL-encoded string.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYesThe URL-encoded string to decode

Implementation Reference

  • The implementation and registration of the "url_decode" tool using `server.tool`. The handler uses `decodeURIComponent` to perform the decoding and includes error handling.
    server.tool(
      "url_decode",
      "Decode a URL-encoded string.",
      { input: z.string().describe("The URL-encoded string to decode") },
      async ({ input }) => {
        try {
          return {
            content: [
              { type: "text" as const, text: decodeURIComponent(input) },
            ],
          };
        } catch {
          return {
            content: [
              {
                type: "text" as const,
                text: "Error: Invalid URL-encoded input",
              },
            ],
            isError: true,
          };
        }
      }
    );
Behavior2/5

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

With no annotations provided, the description must carry the full burden of behavioral disclosure, but it omits critical details such as error handling for malformed input, character encoding assumptions (UTF-8), or output format behavior.

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?

The single sentence 'Decode a URL-encoded string.' is maximally concise with the action verb front-loaded and zero redundant words.

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?

For a simple single-parameter transformation tool, the description minimally suffices but leaves gaps regarding return value documentation, error scenarios, and behavioral edge cases, which is notable given the absence of annotations or output schema.

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?

The schema has 100% coverage with a clear description ('The URL-encoded string to decode'), establishing baseline 3. The tool description does not add additional semantics about the input parameter format, constraints, or examples.

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

Purpose5/5

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

The description states the specific action (Decode) and the specific resource type (URL-encoded string), clearly distinguishing it from siblings like base64_decode, html_decode, and url_encode.

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?

The description provides no guidance on when to use this tool versus alternatives (e.g., html_decode for HTML entities, base64_decode for base64 data), nor does it mention typical use cases like decoding query parameters.

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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