Skip to main content
Glama
syedtaj7

Kitbag MCP

by syedtaj7

utility_base64_encode

Encode text or local files to Base64 format for data transfer or storage.

Instructions

Encode a text string or a local file to Base64 format.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textNoText content to encode.
filePathNoLocal path to a file to encode.
Behavior2/5

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

With no annotations, the description carries the full burden of disclosing behavior. It does not mention what happens if both parameters are provided (schema implies oneOf but description is silent), error handling, output format details, or any side effects. For a simple tool this is minimally acceptable but lacks transparency.

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 no wasted words. It efficiently conveys the essential information.

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 utility tool with no output schema, the description is adequate but minimal. It does not specify the return format (Base64 string) or behavior for edge cases, but given the tool's simplicity, this is passable. However, it could be more complete for optimal agent 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%, so baseline is 3. The description adds 'text string' and 'local file' context, but the schema already provides equivalent descriptions ('Text content to encode', 'Local path to a file to encode'). Thus, the description adds no meaningful extra value beyond the schema.

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 action ('Encode') and the resource ('text string or a local file to Base64 format'). It explicitly distinguishes from the sibling 'utility_base64_decode' and other utilities, making the tool's purpose unmistakable.

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., other encoding tools or utility_base64_decode). It lacks context such as prerequisites, typical use cases, or when not to use it.

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/syedtaj7/Kitbag-mcp'

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