sensor_fuse

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

With no annotations provided, the description bears full responsibility for behavioral disclosure. It discloses nothing: no side effects, no state changes, no return behavior, no dependencies. For a fusion tool, the agent would need to know whether this performs a read-only computation, modifies internal state, or requires prior sensor setup. Complete lack of behavioral information.

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 (three words), but this is under-specification, not concise clarity. It lacks any sentence structure that conveys action or context, and every word is a technical buzzword rather than useful guidance. A concise description would still explain the tool's function.

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 three parameters, no output schema, no annotations, and a complex domain (cross-modal fusion), the description is wholly insufficient. It does not explain return values, side effects, use cases, or how the inclusion flags affect behavior. The agent cannot correctly select or invoke the tool based on this description.

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 any parameters. Although the parameter names (includeAudio, includeVisual, includeOlfactory) are self-descriptive, the description adds no meaning, leaving the agent to infer that these booleans toggle modality inclusion. The phrase 'Cross-Modal' hints at multiple modalities but does not clarify the flags' roles or 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 'Cross-Modal Attention Fusion' is a noun phrase, not a clear verb+resource statement. It vaguely implies combining sensor modalities with attention, but does not explicitly say what the tool does or how it differs from siblings like sensor_process or individual sensor tools. This is closer to a tautology of the tool name 'sensor_fuse'.

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 vs alternatives. It neither states a use case, prerequisites, nor contrasts with sibling tools such as tcai_meta_learning or sensor_visual. The description provides no context for selecting this tool.

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