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christophejlegros-lgtm

ASTRA — Unified Research Lab + MCP Server

sensor_fuse

Fuse visual, audio, and olfactory sensor data using cross-modal attention to produce a unified perceptual representation.

Instructions

Cross-Modal Attention Fusion

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
includeVisualNo
includeAudioNo
includeOlfactoryNo
Behavior1/5

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

No annotations are provided, and the description offers no behavioral details (e.g., whether the tool is read-only, destructive, or has side effects). The agent cannot infer safety or performance characteristics.

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

Conciseness1/5

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

The description is a single 3-word phrase, which is too brief to be useful. It fails to front-load any actionable information and is essentially under-specification, not concise.

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 complexity of cross-modal fusion and lack of output schema, the description is severely incomplete. It does not explain what the tool returns or how parameters affect behavior.

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 coverage is 0% and the description does not explain the three boolean parameters (includeVisual, includeAudio, includeOlfactory). The agent must guess their meaning from names alone, which is insufficient.

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

Purpose2/5

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

The description 'Cross-Modal Attention Fusion' hints at combining multiple sensory modalities, but lacks a clear verb specifying what the tool does (e.g., fuses, merges, or processes). It does not differentiate from sibling tools like sensor_process or individual sensor tools.

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 guidance on when to use this tool vs alternatives such as sensor_visual, sensor_audio, or sensor_olfactory. Missing context about prerequisites or use cases.

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

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