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by dev.agentbits

base64_decode

Decode a Base64 string into UTF-8 text and report invalid payloads as errors when recovering embedded credentials, tokens, or transport-encoded content.

Use when:

  • Decode this Base64 string to UTF-8 text

  • Recover plain text from a Base64-encoded payload

  • Check whether a Base64 string is valid and decode it

Do not use when:

  • Encode plain text to Base64 (use base64_encode)

  • Decode percent-encoded URL components (use url_decode)

  • Decrypt ciphertext—Base64 decoding is not decryption

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
valueYesBase64 text to decode

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations, the description carries the full transparency burden. It discloses error behavior (invalid payloads reported as errors) and clarifies the output encoding (UTF-8). While it doesn't mention padding or URL-safe variants, for a simple decode tool the provided context is sufficient.

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 well-structured with a short headline, bulleted use-cases, and clear exclusions. It is concise, every sentence contributes meaning, and there is no fluff or repetition.

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

Completeness5/5

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

For a single-parameter utility tool with no output schema and no annotations, the description is remarkably complete. It covers purpose, usage, alternatives, limitations (not decryption), and error behavior, leaving no significant gaps for an agent to interpret.

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% and the parameter 'value' is described as 'Base64 text to decode'. The description's use-case examples add contextual meaning (e.g., recovering credentials), but it doesn't introduce new syntactic or format details beyond the schema. 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 a specific verb ('Decode'), a clear resource ('Base64 string'), and a defined outcome ('into UTF-8 text'), plus error behavior ('report invalid payloads as errors'). This immediately distinguishes it from siblings like base64_encode and url_decode.

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?

The 'Use when' list provides concrete scenarios (recovering plain text, checking validity), and the 'Do not use when' section explicitly names alternative tools (base64_encode, url_decode) and clarifies it's not decryption. This gives clear guidance on when to select this 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

A4.1/5.0
Disambiguation5/5

Each tool targets a distinct data format and operation, with explicit 'Do not use when' cross-references to prevent confusion. For example, base64_encode/decode, url_encode/decode, and timestamp_convert/timezone_convert are clearly separated, and the various validators (ISBN, Luhn, UUID, JSON) apply to different identifiers.

Naming Consistency4/5

Most tool names follow an object_operation pattern (e.g., base64_decode, country_lookup, timestamp_convert), using lowercase with underscores. The main deviation is countries_bulk, which uses a noun+adjective form without an explicit operation, making it inconsistent with the verb-like operations used elsewhere.

Tool Count3/5

With 18 tools, the server falls into the 16-25 range which feels heavy for a utility collection. While each tool is individually useful and the scope is broad, the count is higher than typical for a well-focused server and may overwhelm agents scanning the available options.

Completeness4/5

The set provides solid coverage of encoding/decoding, validation, lookups, and conversions, with paired encode/decode and convert functions. However, some common utilities such as hashing, HTML entity encoding, UUID generation, or email validation are absent, leaving minor gaps for agents that need those operations.

Resources