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ofershap

mcp-server-devutils

base64_encode

Encode text strings to Base64 format for secure data transmission and storage in web applications and APIs.

Instructions

Encode a string to Base64

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYesThe string to encode
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It states the action ('Encode a string to Base64') but doesn't disclose behavioral traits such as error handling (e.g., for non-string input), encoding standards (e.g., UTF-8), or output format details. This is a significant gap for a tool with no annotation coverage.

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 a single, efficient sentence with zero waste. It is front-loaded with the core action and resource, making it easy to parse. Every word earns its place, and there is no redundancy or unnecessary elaboration.

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

Completeness2/5

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 is incomplete. It doesn't explain the return value (e.g., the Base64-encoded string), potential errors, or encoding specifics. For a tool with no structured output or annotations, more context is needed to be fully helpful.

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 has 100% description coverage, with the parameter 'input' documented as 'The string to encode'. The description adds no additional meaning beyond this, as it doesn't elaborate on constraints or examples. With high schema coverage, 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.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('Encode') and resource ('a string'), specifying the transformation to Base64. It distinguishes from its sibling 'base64_decode' by indicating the opposite operation, though it doesn't explicitly name the sibling. The purpose is specific and unambiguous.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives. While the name implies it's for Base64 encoding, it doesn't mention use cases, prerequisites, or compare it to other encoding/hashing tools like 'hash' or 'hash_all' in the sibling list. The description lacks context for selection.

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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