bursia_base64
Encode text to base64 or decode base64 to text. Pure computation, free.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| mode | No | ||
| text | Yes |
Encode text to base64 or decode base64 to text. Pure computation, free.
| Name | Required | Description | Default |
|---|---|---|---|
| mode | No | ||
| text | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
'Pure computation, free' usefully confirms determinism, no network, and no cost, aligning with openWorldHint=false and readOnlyHint=true and adding a little value beyond them. However, it says nothing about how encode vs decode is selected at runtime or what the response looks like.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two short sentences, front-loaded with the operation, zero padding. Every clause earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a trivial two-parameter utility the description covers purpose and cost, but the undocumented mode values and the absence of both an output schema and a stated return shape leave a real gap an agent must resolve by trial.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0% and the critical 'mode' parameter has no enum and no documented values, yet the description never states the accepted strings. An agent must guess whether to pass 'encode'/'decode', 'e'/'d', or similar, which risks an invocation error.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb (encode/decode) and resource (base64 text) in both directions, so the tool's function is immediately obvious. It doesn't name sibling tools like bursia_url_encode or bursia_hash, so it relies on the name for differentiation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is implied by 'encode text to base64 or decode base64 to text', which tells the agent what operations are supported, but there's no explicit when-to-use vs the adjacent encoding siblings (url_encode, html_escape, hash) and no stated alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.