sensor_fuse

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

No annotations are provided, so the description carries the full burden of disclosing behavior. 'Cross-Modal Attention Fusion' is abstract and reveals nothing about side effects, state changes, processing semantics, or what the tool actually does to the system.

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, but this is under-specification rather than conciseness. It front-loads a vague phrase without providing any actionable information, so the brevity does not serve a useful purpose.

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 has three boolean parameters, no annotations, and no output schema, the description should clarify what the fusion does, how the toggles interact, and what the output/effect is. 'Cross-Modal Attention Fusion' is far too sparse to be considered complete even for a simple tool.

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 description coverage is 0% and the description does not mention the three inclusion flags (includeAudio, includeVisual, includeOlfactory). Although parameter names are self-explanatory, the description adds zero meaning beyond the schema and fails to explain how these toggles affect the fusion behavior.

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 'Cross-Modal Attention Fusion' is a noun phrase that essentially restates the tool name 'sensor_fuse' with technical jargon. It does not use a specific verb or identify a concrete resource/action, and it fails to distinguish itself from sibling sensor tools like sensor_process or sensor_status.

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?

There is no guidance on when to use this tool versus alternatives. The description provides no context about use cases, prerequisites, or exclusions, leaving the agent without direction on selecting sensor_fuse over sibling tools.

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