Skip to main content
Glama

encode_base64

Convert text to Base64 format for data encoding and transmission in IT workflows.

Instructions

Encode text to Base64 format. Example: "Hello World" → "SGVsbG8gV29ybGQ="

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesText to encode to Base64
Behavior3/5

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

Annotations provide readOnlyHint=false, indicating this is a write operation, which aligns with 'encode' implying transformation. The description adds the behavioral detail of the transformation format (Base64) and an example, but doesn't mention error handling, encoding specifics (e.g., UTF-8), or output characteristics beyond format.

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 extremely concise with two sentences: one stating the purpose and one providing an example. Every word earns its place, and it's front-loaded with the core functionality, making it easy to scan and understand quickly.

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 low complexity (single parameter, no output schema, simple transformation), the description is mostly complete. It covers what the tool does and provides an example, but lacks details on output format specifics (e.g., string type) or potential errors, which could be helpful for full contextual understanding.

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 description coverage is 100%, with the parameter 'text' fully documented as 'Text to encode to Base64'. The description adds no additional parameter semantics beyond what the schema provides, such as encoding constraints or example values, so it meets the baseline for high schema coverage.

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 clearly states the specific action ('Encode text') and target format ('to Base64 format'), with a concrete example. It distinguishes from its sibling 'decode_base64' by specifying encoding rather than decoding.

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 implies usage context through the example, showing it's for converting plain text to Base64. However, it doesn't explicitly state when to use this versus alternatives like 'encode_url' or 'encode_html', nor does it mention prerequisites or 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/wrenchpilot/it-tools-mcp'

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