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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 provided, the description carries the full burden. It discloses that invalid payloads are reported as errors and clarifies that Base64 decoding is not decryption, which prevents misuse. However, it doesn't mention handling of whitespace, padding, or URL-safe variants, which would add more context.

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 structured with a clear opening sentence and succinct bullet points for use and non-use cases. Every sentence adds value, with no redundant filler.

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 one-parameter decode tool with no output schema, the description is complete: it covers purpose, when to use, behavioral details, and parameter meaning via schema. The lack of an output schema is mitigated by the clear statement that it decodes to UTF-8 text.

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 describes the single parameter as 'Base64 text to decode' with 100% coverage, so the baseline is 3. The description's first sentence reiterates 'Base64 string' but doesn't add new semantic details beyond the schema.

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 states the function: 'Decode a Base64 string into UTF-8 text and report invalid payloads as errors.' It identifies the resource and action, and distinguishes from siblings by explicitly naming base64_encode, url_decode, and decryption.

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 description explicitly provides 'Use when' and 'Do not use when' sections, listing concrete use cases and alternatives. For example, it advises using base64_encode for encoding and url_decode for percent-encoded components.

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.