Skip to main content
Glama
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
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states it's a pipeline and produces 'Fused z', but does not explain side effects, processing details, or potential impacts on the system state. This is inadequate for an agent to understand the tool's behavior beyond a vague notion.

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 concise and front-loaded, consisting of a single impactful phrase. It avoids unnecessary words and conveys the core purpose. However, it is so terse that it lacks the substance needed to fully guide usage, but as far as conciseness, it is well-structured.

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?

Without an output schema or annotations, the description must explain what the tool does and what it returns. It fails to clarify what 'Fused z' means, how the pipeline processes inputs, or what output format to expect. For a complex tool with 3 optional parameters, this is insufficiently complete.

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?

The input schema has full descriptions for all three parameters, so baseline is 3. The description adds no additional parameter meaning, but it does imply that compounds, visualSource, and audioFrequency are inputs to the multimodal pipeline, which is consistent with the schema. No extra value beyond schema.

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 indicates the tool processes all modalities and fuses them into a single output ('Fused z'), distinguishing it from sibling tools like sensor_visual or sensor_audio. The verb is implied ('process') but the resource and scope are clear. It could be more explicit about what 'z' represents, but it's understandable.

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

Usage Guidelines3/5

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

The description implies this is the full multimodal pipeline, which suggests using it when all sensor modalities need to be processed together. However, it does not explicitly state when to use this tool versus sensor_fuse or individual sensor tools, nor does it provide any exclusion criteria or alternatives.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/christophejlegros-lgtm/ASTRA-Unified-ResearchLab-MCP-v2.4'

If you have feedback or need assistance with the MCP directory API, please join our Discord server