tool_base64_decode
Decode a base64-encoded string into its original text.
Instructions
Decode a base64 string.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| encoded | Yes |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Decode a base64-encoded string into its original text.
Decode a base64 string.
| Name | Required | Description | Default |
|---|---|---|---|
| encoded | 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?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the core transformation but does not explain behavior on invalid input, whether URL-safe base64 is accepted, or how the decoded output is encoded. Since the tool is a pure transformation, this is minimal but not completely opaque.
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 with no filler words. Every word contributes meaning, and the core action is front-loaded. This is appropriately sized for such a simple utility tool.
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 tool's low complexity, single parameter, and presence of an output schema, the description is adequate for correct invocation. It clearly identifies the input and operation. The lack of error-handling details is a minor gap for this simple pure-function tool.
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 compensate for the bare parameter definition. It does add meaning by indicating that 'encoded' must be a base64-encoded string, which is useful. However, it does not elaborate on accepted format, padding, or edge cases, leaving the parameter semantics only minimally enriched.
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 verb 'Decode' and object 'base64 string' clearly state a specific operation and resource. It is inherently distinguishable from sibling tool_base64_encode, though it does not explicitly reference or differentiate itself from any sibling by name.
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 gives no explicit guidance on when to use this tool versus alternatives, and it states no exclusions or prerequisites. However, the intended usage is fairly implied by the action 'Decode a base64 string,' making the gap moderate rather than severe.
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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