Base64 Converter
base64-converterEncode/decode text and files to Base64.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| mode | No | Encode or decode | encode |
| text | Yes | Text to encode or decode | |
| urlSafe | No | Use URL-safe Base64 |
base64-converterEncode/decode text and files to Base64.
| Name | Required | Description | Default |
|---|---|---|---|
| mode | No | Encode or decode | encode |
| text | Yes | Text to encode or decode | |
| urlSafe | No | Use URL-safe Base64 |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
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, but it only states the core operation. It also claims support for 'files' despite the input schema containing only a text parameter, which is misleading. No mention of output format, mode defaults, or URL-safe behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, concise sentence that is immediately understandable and front-loaded. However, its brevity sacrifices important behavioral details, so while it earns its place, it is not fully sufficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with three parameters and no output schema, the description is too sparse. It does not explain the output format, that mode defaults to encode, or how urlSafe changes behavior. The 'files' claim is contradicted by the schema, leaving the description incomplete and somewhat misleading.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema already provides descriptions for all three parameters (mode, text, urlSafe) with 100% coverage, so the description adds no additional parameter semantics. The mention of 'files' could actually confuse parameter expectations, but the schema itself is clear.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states a specific action (encode/decode) and resource (text/files to Base64), making its purpose unambiguous and distinguishing it from sibling tools like hash-generator or url-encoder.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives like URL-encoder or string-transform. The use case is only implied by the tool's name and description, offering no explicit context or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Multiple tools have overlapping purposes, such as bg-remover, bg-remover-pro, pro-matting, and takumi all performing background removal, and upscaler/upscaler-pro being redundant. With 202 tools, an agent may easily select the wrong one despite detailed descriptions.
Most tools use a consistent kebab-case format with descriptive names like pdf-compress, image-resizer, and tax-return-calc. Exceptions like 'takumi', 'pro-matting', and '-pro' suffixes (bg-remover-pro, upscaler-pro) are minor deviations relative to the total.
202 tools is an extreme mismatch for an MCP server, far exceeding the typical 3-15 well-scoped range. The sheer volume makes it unwieldy for an agent to efficiently navigate and select the right tool.
The tool set provides extensive coverage across many domains, including PDF operations (20+ tools), image editing, financial calculations, e-commerce fee estimation, and YouTube utilities. Minor gaps exist in cross-tool integration, but the breadth is highly comprehensive for the apparent purpose.