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sensor_fuse

Combine visual, audio, and olfactory data using attention-based fusion to integrate multimodal sensor inputs.

Instructions

Cross-Modal Attention Fusion

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
includeVisualNo
includeAudioNo
includeOlfactoryNo
Behavior2/5

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

No annotations exist and the description offers no behavioral details. It is not misleading but entirely insufficient for understanding side effects or requirements.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Extremely short but not usefully concise; it lacks essential information. Every word should add value, but this phrase is too vague.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (3 parameters, many siblings, no output schema), the description is severely incomplete. It fails to explain fusion behavior, return values, or relationship to other sensors.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description adds no meaning to the three boolean parameters. It does not explain that they control which modalities to include.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Cross-Modal Attention Fusion' is a vague phrase, not a verb+resource statement. It does not specify what the tool does or how it differs from siblings like sensor_process.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No usage guidelines provided. The description does not indicate when to use this tool versus alternatives such as sensor_visual or sensor_audio.

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

Install Server

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