get_metrics
Retrieve real-time metrics from the bio-hybrid neuromorphic simulation pipeline to monitor performance and telemetry data.
Instructions
Real-time Metrics
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve real-time metrics from the bio-hybrid neuromorphic simulation pipeline to monitor performance and telemetry data.
Real-time Metrics
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Real-time' hints at data freshness but does not disclose read-only behavior, potential side effects, rate limits, or what the returned metrics represent.
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 two-word description is under-specified rather than concise. While it contains no filler, it omits essential information, so it does not earn its place as an adequate description.
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?
With no output schema, no annotations, and no parameter information, the description is the only source of context, yet it fails to explain what metrics are returned or how they relate to other metric-oriented tools. This is completely insufficient for an agent to select and invoke the tool correctly.
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?
The tool has zero parameters and an empty input schema, so there are no parameter semantics that the description must clarify. The baseline score of 4 applies because no parameter information is needed.
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 is only 'Real-time Metrics', a vague noun phrase that does not clearly state a specific verb or resource. It fails to distinguish this tool from sibling metric tools such as get_acm_score, get_system_status, and tcai_metrics, which likely have overlapping purposes.
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?
The description provides no guidance on when to use this tool versus alternatives. There are many sibling tools related to metrics and status, but no selection criteria or contextual cues are provided.
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-v2.4'
If you have feedback or need assistance with the MCP directory API, please join our Discord server