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christophejlegros-lgtm

ASTRA Unified Research Lab MCP Server

sensor_fuse

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

Instructions

Cross-Modal Attention Fusion

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
includeAudioNo
includeVisualNo
includeOlfactoryNo
Behavior1/5

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

Annotations are not provided, so the description carries the full burden. It discloses no behavioral traits: no effects, no side effects, no return behavior, no mention of what happens to the sensor data.

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?

The description is extremely short, but it is under-specification rather than effective conciseness. A four-word phrase conveys no operational meaning and fails to earn its place; more detail is needed.

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?

With 3 parameters, no annotations, and no output schema, the description provides zero actionable context. It does not help the agent understand inputs, outputs, or the tool's role within the larger system.

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 has three booleans (includeAudio, includeVisual, includeOlfactory) with 0% description coverage. The description does not mention these parameters or explain their role in fusion, leaving the agent without semantic understanding of how to invoke the tool correctly.

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?

Description is 'Cross-Modal Attention Fusion' – a noun phrase with no verb. It merely restates the tool name 'sensor_fuse' in different words, offering no concrete action or resource. It does not distinguish from sibling sensor tools like sensor_audio or sensor_visual.

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 versus alternatives. The description does not mention any condition for use, nor does it differentiate from other fusion or sensor-related tools.

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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