Skip to main content
Glama
Hhh997921

mcp-devutils

by Hhh997921

base64_encode

Encode any text string into Base64 to prepare it for transmission, storage, or use in AI development workflows.

Instructions

Encode a text string to Base64 format.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesThe text string to encode.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It states the core operation but adds no extra context beyond what the name implies, such as handling of Unicode, standard Base64 padding, or edge cases. For a simple pure function, this is adequate but not enriching.

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, front-loaded sentence with zero wasted words. Every word earns its place by directly conveying the tool's purpose.

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

Completeness4/5

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

Given the tool's simplicity and the presence of an output schema (which handles return-value documentation), the description is sufficient. It would be improved by mentioning any encoding nuances, but for a basic utility, this is adequately 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?

The schema covers 100% of the parameter (text) with a description that mirrors the tool description. The description adds no additional meaning beyond the schema, so the baseline of 3 applies.

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 uses a specific verb ('Encode') and resource ('a text string to Base64 format'), clearly distinguishing it from the sibling base64_decode tool. It unambiguously states what the tool does.

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

Usage Guidelines4/5

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

The description clearly implies its use case: encoding text to Base64. It doesn't explicitly mention when not to use it or name alternative tools, but the sibling list includes base64_decode, which intuitively signals the opposite operation. This provides clear context without explicit exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Hhh997921/mcp-devutils'

If you have feedback or need assistance with the MCP directory API, please join our Discord server