get_metrics
Retrieve real-time metrics from the bio-hybrid neuromorphic simulation pipeline to monitor SNN engine and neuroplatform telemetry.
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 SNN engine and neuroplatform telemetry.
Real-time Metrics
| 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 behavior but offers minimal information. 'Real-time Metrics' does not clarify if it is a read-only operation, whether it streams data, or if it has side effects. The agent has no insight into its behavior.
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 (two words), but it is under-specified rather than concise. It fails to provide necessary details, and the brevity comes at the cost of clarity and completeness.
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 no output schema, no annotations, and no sibling differentiation, the description is woefully incomplete. It does not explain what metrics are returned, how to interpret them, or how it compares to similar tools, leaving the agent with insufficient information.
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 input schema provides full coverage. The description adds no parameter information, but with 0 parameters, the baseline score of 4 is appropriate as parameter semantics are not applicable.
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 'Real-time Metrics' is vague and does not specify what the tool does (e.g., retrieve, stream, or display metrics). It fails to distinguish itself from sibling tools like get_platform_status or get_acm_score, leaving the agent without a clear 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. The description lacks context about typical use cases or constraints, making it difficult for an agent to decide when to invoke it.
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'
If you have feedback or need assistance with the MCP directory API, please join our Discord server