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christophejlegros-lgtm

ASTRA Unified Research Lab MCP Server

sensor_process

Processes olfactory, visual, and audio inputs to produce a fused multimodal representation, enabling integrated sensor simulation for research pipelines.

Instructions

Full Multimodal Pipeline (All Modalities → Fused z)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
compoundsNoOlfactory compounds to simulate
visualSourceNoVisual source (default: simulated)
audioFrequencyNoAudio tone frequency for simulation

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.4.0

TDQS

C2.9/5.0
Behavior2/5

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

There are no annotations, and the description adds no behavioral details beyond the label 'Full Multimodal Pipeline (All Modalities → Fused z)'. It does not mention side effects, state changes, whether simulation is always used, what happens to existing sensor data, or any prerequisites for calling this tool.

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

Conciseness4/5

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

The description is extremely terse and front-loaded, using a clear arrow notation to show the transformation from inputs to fused output. No filler words are present, though the brevity leaves room for important details that are handled in other dimensions.

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

Completeness2/5

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

Given no annotations, no output schema, many similarly named sibling tools, and three parameters, this description is far too sparse to be complete. An agent cannot know when to choose this tool, what invocation entails, or what the 'Fused z' output looks like.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already explains each parameter. The description's reference to 'All Modalities' loosely maps to compounds, visualSource, and audioFrequency, but it does not add any detailed semantic meaning beyond what the schema provides. Baseline 3 is appropriate.

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

Purpose4/5

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

The description clearly identifies this as a full multimodal pipeline that takes all modalities and produces a fused output 'z'. It conveys the core operation and is distinct from individual sensor tools like sensor_visual, sensor_audio, and sensor_olfactory, though it does not clearly distinguish itself from sensor_fuse.

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

Usage Guidelines2/5

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

No guidance is provided about when to use sensor_process versus the sibling tools such as sensor_fuse, sensor_visual, or sensor_olfactory. The description implies it handles everything at once, but there are no explicit conditions, alternatives, or exclusions.

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