encode

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

With no annotations, the description fully covers behavioral traits: data decoding via input_format, per-scheme details, and specific behavior for bytes32 (padding, lossless round-trip). It does not address errors or authentication, but these are less critical for an encoding tool.

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?

The description is dense but well-structured, front-loading the purpose and then elaborating on schemes. Every sentence adds value, though it could be slightly more concise.

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?

Given the complexity (20 schemes, 4 params, no output schema), the description covers most necessary information: input handling, scheme behavior, and options. Missing explicit return format, but 'string form' is implied. Adequately complete.

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?

The schema has 0% description coverage, and the description compensates by explaining each parameter: data, scheme, input_format, and options dict with per-scheme details (padding, alphabet, hrp, width). This adds significant meaning beyond the schema.

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?

The description clearly states that the tool encodes bytes/text into various string forms, listing multiple schemes. It distinguishes itself from sibling tools like decode and hash by focusing on encoding.

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?

The description explains how data is processed and per-scheme options, but does not explicitly specify when to use this tool versus alternatives or when not to use it. However, the list of schemes implies their contexts.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.