wm_encode

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

Annotations are absent, so the description carries full burden. 'Encode' implies a transformation, but the description does not disclose whether this is read-only, mutates internal state, requires specific conditions, or what the output is. No behavior beyond the bare operation is mentioned.

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, front-loaded phrase with no filler words. It is appropriately short for the tool's apparent simplicity.

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?

Despite having no parameters, the description lacks any context about return values, side effects, or the meaning of 'latent space' in this system. With no annotations and no output schema, the agent is left to guess what this tool actually does beyond the phrase. It is more informative than a tautology but still incomplete for a real-world use case.

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?

There are no parameters in the schema, and per the baseline for zero-parameter tools, the description adds context by naming the entity being operated on (SNN State) and the output representation (Latent Space), which is sufficient given there is nothing to document.

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') and resource ('SNN State') with a clear target ('latent space'), distinguishing it from sibling tools like get_snn_state or wm_predict. However, it doesn't explicitly call out alternative tools, but the operation is clear enough.

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?

No guidance is provided on when to use this tool versus alternatives like get_snn_state or wm_predict. The one-line description lacks any context about prerequisites, typical use cases, or exclusion criteria.

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