wm_encode

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

With no annotations provided, the description must disclose behavioral traits itself, but it only states the operation without indicating whether it is read-only, modifies state, or has side effects. It also fails to mention what happens to the SNN state or whether the encoding is reversible or destructive, which is a notable gap for a transformation 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 a single, succinct sentence that is fully front-loaded and free of redundancy. Every word contributes to the core meaning, making it an appropriately concise description for a tool with no parameters.

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?

There is no output schema and no annotations, so the description should explain return values or behavioral outcomes, but it does not. It also lacks any mention of when this encoding is useful or what the latent space represents, leaving the description incomplete for practical use despite its simplicity.

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 tool has zero parameters, and the schema is empty with 100% coverage vacuously. The baseline for 0 parameters is 4, and the description does not need to compensate for parameter documentation since none exist.

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 uses a specific verb 'Encode' with a clear resource 'SNN State' and target 'Latent Space', making the tool's function immediately understandable. It also distinguishes itself from sibling tools like wm_predict and wm_plan by focusing on encoding rather than prediction or planning.

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?

There is no guidance on when to use this tool versus alternatives such as wm_predict, wm_train_step, or wm_surprise. The description gives no context about prerequisites, typical scenarios, or exclusions, leaving the agent to infer usage solely from the name.

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