get_platform_status
Retrieve the current operational status of the bio-computing platform to monitor neuroplatform telemetry and simulation readiness.
Instructions
Bio-Computing Platforms
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve the current operational status of the bio-computing platform to monitor neuroplatform telemetry and simulation readiness.
Bio-Computing Platforms
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behavioral traits, but it provides none. There is no indication of whether the tool is read-only, what data it accesses, or side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short but fails to convey any useful information. It is under-specified rather than concise, wasting the opportunity to clarify the tool's function.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has no parameters and no output schema, the description should at least state its purpose or return type. It is completely inadequate for an agent to use effectively.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are no parameters, so the schema coverage is 100% by default. According to guidelines, 0 parameters have a baseline of 4. The description does not need to add parameter info.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Bio-Computing Platforms' is a vague label without a verb or action. It does not specify what the tool does, making it impossible for an agent to understand its purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives like 'get_system_status' or 'get_metrics'. The description offers no context for decision-making.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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-v2.7'
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