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by io.github.rwaldman

base64_encode

Convert a UTF-8 string into standard Base64 when you need a portable text encoding for credentials, binary-safe transport, or embedding data in JSON/HTTP fields.

Use when:

  • Encode this UTF-8 string as Base64

  • Convert plain text into standard Base64 for transport

  • Produce a Base64 representation of a credential or payload string

Do not use when:

  • Decode Base64 back to text (use base64_decode)

  • Percent-encode URL components (use url_encode)

  • Hash or encrypt data for security—Base64 is encoding only

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
valueYesText to encode

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses that Base64 is encoding-only (not encryption/hashing), specifies UTF-8 input and standard Base64 output, and clarifies what it does not do. This adds meaningful behavioral context beyond the schema.

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

Conciseness4/5

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

The description is well-structured with a clear first sentence and bullet lists for usage. The 'Use when' bullets are somewhat redundant with the opening line, but the 'Do not use when' section earns its place by providing necessary exclusions. It is not overly long for the value it delivers.

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 tool's simplicity (one parameter, no output schema, no annotations), the description covers the essential aspects: purpose, use cases, exclusions, and a security caveat. It is sufficiently complete for an agent to select and invoke the tool correctly, though it could state the return format explicitly.

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 input schema already covers the sole parameter with 100% description coverage ('value' described as 'Text to encode'). The description reinforces the UTF-8 string aspect but does not add syntax or format details beyond the schema, so the baseline 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 opens with 'Convert a UTF-8 string into standard Base64,' using a specific verb+resource that clearly identifies the function. It also explicitly distinguishes from sibling tools like base64_decode and url_encode in the 'Do not use when' section.

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

Usage Guidelines5/5

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

Dedicated 'Use when' and 'Do not use when' sections provide clear context for when to apply the tool, and name base64_decode and url_encode as explicit alternatives. This leaves no ambiguity about selecting the right tool.

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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TDQS

A4.3/5.0
Disambiguation5/5

Each tool targets a distinct resource and action, with clear use cases and explicit 'Do not use when' guidance preventing confusion. For example, base64_decode and url_decode handle different encoding schemes, while timestamp_convert and timezone_convert address separate time operations.

Naming Consistency5/5

All tool names follow a consistent lowercase snake_case verb_noun pattern (e.g., base64_decode, country_lookup, uuid_validate). While verbs vary (decode, encode, lookup, validate, convert), the naming format is uniform and predictable.

Tool Count4/5

The 18-tool set is slightly above the typical 3-15 range, but the breadth is justified by the server's purpose as a general-purpose utility toolkit. Each tool earns its place, and the count does not feel overwhelming or redundant.

Completeness4/5

The toolkit covers encoding/decoding, validation, lookups, and conversions across common developer needs. Minor gaps exist, such as no UUID generation tool to complement uuid_validate, and no HTML entity encoding/decoding, but these are not critical omissions for the stated utility scope.

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