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vikash-b5

OmniKit

base64_decode

Convert Base64 encoded data back into plain text. Use this tool when you need to recover the original content from a Base64 string.

Instructions

Decode Base64 back to text.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesbase64 to decode
Behavior3/5

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

No annotations are provided, so the description carries the behavioral disclosure burden. It accurately describes the pure transformation from Base64 to text, but it does not disclose behavior for invalid Base64 input, character encoding, or empty strings. These gaps are minor for a simple deterministic utility but leave some ambiguity.

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 one short, front-loaded sentence that says exactly what the tool does without any filler. Every word adds meaning, and it is easy for an agent to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given than one required parameter and this simple operation, the description is largely complete for an agent to select and invoke the tool. It conveys the transformation and the output format ('text') even though no output schema is present. It slightly lacks details about error cases and encoding, but those are not essential for this common utility.

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?

The schema already fully documents the single 'text' parameter with the description 'base64 to decode', giving 100% schema coverage. The tool description does not add parameter-level detail beyond that, so the baseline score of 3 is appropriate.

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 uses a specific verb, 'Decode', with a clear resource, 'Base64', and states the result, 'back to text'. This makes the tool's function immediately distinguishable from siblings like base64_encode and url_encode.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when this tool should be used: whenever one has Base64 data and needs the original text. However, it does not explicitly mention alternatives or say when not to use it, such as directing users to base64_encode for the reverse operation.

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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