sensor_process

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

With no annotations, the description must convey behavioral traits. It only states the tool processes all modalities and fuses them, but does not disclose side effects, performance implications, or whether it is read-only or destructive. The minimal disclosure leaves significant gaps.

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 concise sentence that front-loads the core purpose. It avoids verbosity but could be structured to include more details without losing conciseness.

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 complexity (3 optional parameters, no output schema, no annotations), the description is insufficient. It does not explain return values, expected behavior, or how the fusion works, leaving the agent with incomplete context for reliable use.

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% with each parameter described. The description adds context that these parameters are inputs to a multimodal fusion pipeline, which provides some semantic value beyond the schema. However, it does not elaborate on their roles or constraints.

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 'Full Multimodal Pipeline (All Modalities → Fused z)' clearly indicates the tool processes multiple sensor modalities and produces a fused output. It distinguishes from sibling tools like sensor_visual, sensor_audio, and sensor_olfactory by implying integration, though the meaning of 'fused z' is ambiguous.

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 sensor_fuse or individual modality tools. The description does not specify scenarios where this pipeline is preferable.

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