sensor_process

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

With no annotations, the description carries full responsibility for behavioral traits. It only states the pipeline's scope and output, but does not disclose side effects, required permissions, or execution behavior, leaving the agent uninformed.

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 sentence, which is concise, but it sacrifices necessary detail. 'Fused z' is unexplained, and the structure front-loads the name-like content without expanding on purpose or behavior. It is not appropriately complete for the complexity.

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 three optional parameters and no output schema, the description should explain what 'z' represents, the fusion process, and the role of parameters. It fails to provide sufficient context for an agent to understand the tool's full effect and output.

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?

Schema coverage is 100%, so baseline is 3. The description adds no additional meaning beyond the schema's parameter descriptions; it only repeats the concept of multimodal fusion. The agent gains no extra insight into parameter usage.

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 indicates it is a full multimodal pipeline fusing all modalities into 'z', which distinguishes it from per-modality sibling tools. However, 'Fused z' is ambiguous and not explicitly defined, slightly reducing clarity.

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 pipeline versus individual sensor tools (e.g., sensor_audio) or the sensor_fuse tool. The lack of exclusion criteria or context for selection leaves the agent without decision support.

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