sensor_olfactory

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

With no annotations, the description must carry the full burden of behavioral disclosure. It gives no indication of whether this is a read-only operation, whether it persists data, or what side effects might occur. The cryptic pipeline label offers no transparency.

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 short, bordering on under-specification. While it avoids verbosity, it also fails to provide meaningful content, making the brevity a liability rather than a strength.

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?

For a tool with a nested object schema, no annotations, and no output schema, this description is grossly inadequate. The agent cannot determine the tool's purpose, input requirements, or expected output, making it impossible 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 has one parameter ('input') with a description, yielding 100% coverage, so the baseline is 3. However, the description text adds no parameter information, and the nested properties lack individual descriptions, leaving the agent to infer meanings from names and defaults.

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)' reads as a title rather than a clear functional statement. It hints at a transformation from chemoreceptor signals to latent representations but lacks a specific verb and resource, and does not distinguish it from sibling tools like sensor_visual or sensor_audio.

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 provides no guidance on when to use this tool versus alternatives. There is no mention of use cases, prerequisites, or exclusions, leaving the agent without any contextual decision support.

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