sensor_olfactory

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does not state whether simulation is used, what the latent output represents, or any side effects. The high-level transformation arrow is insufficient to understand actual tool behavior.

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 extremely brief, making it concise, but it is a noun phrase rather than a well-structured sentence. It is front-loaded with the key concept but omits necessary details, so it is not fully effective.

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 tool's complex nested input and absence of annotations and output schema, the description is grossly incomplete. It only supplies a title, lacking usage, behavioral, and parameter context, making it inadequate for an agent to invoke correctly.

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 provides a nested 'input' object with a description and typed properties with defaults, so schema coverage is high. The tool description adds no parameter semantics, but the baseline of 3 applies because the schema already documents the parameters.

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 'Koniku Kore Olfactory Encoding (Chemoreceptor → Latent)' clearly identifies the tool's domain (olfactory encoding) and the transformation it performs, distinguishing it from sibling sensor tools like sensor_visual and sensor_audio. However, it lacks a clear verb and is phrased as a noun phrase rather than a complete statement of action.

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 such as sensor_visual or sensor_audio. The description does not mention prerequisites, 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.