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x402node_dev_base64

Encode or decode text to standard or URL-safe Base64 for JWT preparation, API token handling, data URI generation, and email MIME conversion.

Instructions

Base64 encoder / Base64 decoder / Base64url / URL-safe Base64 / RFC 4648 / encode text / decode Base64 / JWT prep / data URI / binary safe encoding / API token encoding / email MIME. Standard or URL-safe Base64 encoding/decoding of any text. For AI agents, JWT manipulation, API token handling, data URI generation.

Price: unknown on Base (auto-paid in USDC).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNoencode | decode (default: encode)
textYesInput text (required)
urlsafeNotrue for URL-safe variant (default: false)
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions 'binary safe encoding' but does not disclose error handling, input limitations, or behavior for invalid data. An agent would need to infer standard base64 behavior, which is insufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is somewhat verbose with a list of synonyms and use cases, and includes an irrelevant price note. It could be more streamlined without losing meaning. It is functional but not optimally concise.

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 the simplicity of the tool and complete schema coverage, the description provides sufficient context for typical base64 operations. The inclusion of use cases aids agent selection, though behavioral details are lacking.

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?

Schema coverage is 100%, so parameters are already well-described. The description adds no additional parameter-level information beyond listing use cases. 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 clearly identifies the tool as a Base64 encoder/decoder with URL-safe variant, listing specific use cases like JWT, data URI, API tokens, and email MIME. It is specific and distinguishes from siblings which are unrelated encoding/decoding tools.

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

Usage Guidelines4/5

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

The description provides context for when to use the tool (e.g., JWT manipulation, API token handling, data URI generation) but does not explicitly state when not to use or compare to alternatives. This provides useful guidance but lacks exclusions.

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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