tool_base64_encode
Encode a string to base64 format.
Instructions
Encode a string to base64.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Encode a string to base64 format.
Encode a string to base64.
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
v0.1.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the behavioral burden, and 'Encode a string to base64' clearly communicates a deterministic, side-effect-free transformation. It does not specify the character encoding (e.g., UTF-8) or Base64 variant, but for a pure conversion utility the core behavior is transparent.
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 entire description is one short, front-loaded sentence. Every word contributes to meaning and no redundant phrasing is present.
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 one-parameter utility with an output schema and no side effects, the description covers the essential behavior. It could be slightly richer by clarifying whether standard or URL-safe Base64 is produced, but nothing critical is missing for correct invocation.
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?
Schema description coverage is 0%, so the description must clarify the parameter. 'Encode a string to base64' maps the single required 'text' parameter to the string being encoded, which is sufficient given the parameter's self-descriptive name and simple string type.
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 is specific: it names the exact operation (encode) and the resource (a string to base64). This clearly distinguishes it from sibling tool_base64_decode, which performs the inverse operation.
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 phrase 'Encode a string to base64' gives an implied use case, but there is no explicit guidance about when to prefer this tool over alternatives, no exclusions, and no mention of the decode sibling. For a simple utility the implication is adequate, but the guidance is not fully explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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