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encode_base32

Encode any text into Base32, producing a readable ASCII string for safe transmission and storage.

Instructions

encode base32 — Text & Encoding tool. Costs $0.001 USDC via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsNoTool parameters as JSON object
Behavior2/5

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

With no annotations, the description carries the full burden. It discloses the cost ($0.001 USDC via x402) but says nothing about input constraints, output format, edge cases, or side effects. The behavior is largely opaque beyond the basic encode operation.

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

Conciseness3/5

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

The description is brief and front-loaded with the tool's purpose, but it sacrifices necessary detail for brevity. The cost mention is extra context, yet overall it feels under-specified rather than efficiently concise.

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?

The tool has minimal annotations, no output schema, and a generic input schema. The description does not compensate for these gaps, failing to explain expected inputs, outputs, or usage context. It is only partially complete for making an informed invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema only defines a generic 'params' object with 100% coverage of that single meta-parameter, but it provides no actual parameter details. The description adds no semantic meaning about what parameters to pass, leaving the agent without crucial information.

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 tool's function: 'encode base32' is a specific verb+resource that distinguishes it from siblings like encode_base64. It also categorizes it under Text & Encoding tools, but lacks any further detail about what it encodes or returns.

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 given on when to use this tool versus alternatives like encode_base64 or binary_convert. The category label 'Text & Encoding tool' only implies a general context, with no explicit conditions or exclusions.

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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