base64_encode
Encode text to base64. Properly handles Unicode.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | Text to encode |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| encoded | Yes | ||
| original | Yes |
Encode text to base64. Properly handles Unicode.
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | Text to encode |
| Name | Required | Description | Default |
|---|---|---|---|
| encoded | Yes | ||
| original | Yes |
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 provided, the description must convey behavior. It notes Unicode handling, which is useful, but it does not disclose other behavioral traits such as idempotency, error handling, or side effects. For a pure encoding function, this is adequate but not exhaustive.
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 extremely concise with two short sentences, each serving a purpose: the first states the main action, the second highlights Unicode support. No redundancy or unnecessary words.
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?
Given the simplicity of the tool (one parameter, no complex behavior), the description is sufficient. It explains what the tool does and a key feature (Unicode handling). The output schema exists (not shown) but the description does not mention return value format; however, for base64 encoding the output is obvious.
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 describes one parameter 'text' with the description 'Text to encode'. The description adds no additional semantic meaning beyond what the schema provides. Since schema coverage is 100%, a baseline of 3 is appropriate; the description does not enhance parameter understanding.
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 'Encode text to base64', specifying the verb (encode), resource (text), and format (base64). The additional note 'Properly handles Unicode' adds specificity and distinguishes it from similar tools like base64_decode. The purpose is unambiguous.
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?
The description does not provide explicit guidance on when to use this tool versus alternatives or when not to use it. However, as a basic encoding operation, usage is generally clear. No exclusions or sibling comparisons are mentioned.
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.
Many tools have overlapping purposes, such as multiple random generators (random_integer, random_number), duplicate hashing functions (hash_md5, md5_checksum), and near-identical tools (compare, compare_2, compare_decimals). The sheer number of tools and lack of clear boundaries make it difficult for an agent to differentiate.
Naming is highly inconsistent. There are duplicate tools with different names (camel_case vs to_camel_case, slug vs slugify), arbitrary suffixes like '_2', and mixing of patterns (e.g., generate_password vs password_entropy). No clear convention is followed.
With 572 tools, the server is massively overpopulated for any coherent purpose. It includes trivial endpoints (true_endpoint, null, hello_world) and numerous duplicates, far exceeding a well-scoped utility set.
While the server covers many domains (math, strings, dates, colors, etc.), the presence of duplicate and trivial tools indicates a lack of thoughtful curation. There are gaps in basic operations (e.g., no dedicated file or network tools), and many tools are redundant.