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paladini

devutils-mcp-server

base64_encode

Encode strings to Base64 format for data transmission or storage. This tool converts text input into Base64 encoding, commonly used in web development and data handling.

Instructions

Encode a string to Base64.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYesThe string to encode

Implementation Reference

  • The handler and registration logic for base64_encode tool.
    server.tool(
      "base64_encode",
      "Encode a string to Base64.",
      { input: z.string().describe("The string to encode") },
      async ({ input }) => ({
        content: [
          {
            type: "text" as const,
            text: Buffer.from(input, "utf-8").toString("base64"),
          },
        ],
      })
    );
Behavior2/5

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

With no annotations provided, the description bears full responsibility for behavioral disclosure. It only indicates the transformation direction (string to Base64) but lacks information about error conditions (e.g., handling of invalid characters), output format details, idempotency, or length limitations.

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 description is a single, efficient sentence with no extraneous words. Given the tool's simplicity, this length is appropriate and front-loaded with the essential action.

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 utility with complete schema coverage, the description is minimally adequate. However, lacking an output schema and annotations, it could benefit from mentioning the return value format or typical use cases to be truly complete.

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?

With 100% schema description coverage ('The string to encode'), the schema adequately documents the single parameter. The description adds no semantic details beyond the schema, meeting the baseline expectation for high-coverage schemas.

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?

The description provides a clear verb ('Encode') and resource ('Base64'), making the purpose immediately understandable. However, it does not explicitly differentiate from the sibling tool 'base64_decode' within the description text, relying instead on the tool name contrast.

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 like 'hex_encode' or 'url_encode', or when encoding is preferred over other transformation methods. It states what it does but not when to select it.

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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